Ändra sökning
Länk till posten
Permanent länk

Direktlänk
BETA
Jamil, Momin
Publikationer (10 of 11) Visa alla publikationer
Jamil, M., Zepernick, H.-J. & Yang, X. (2017). Sequence optimization for integrated radar and communication systems using meta-heuristic multiobjective methods. In: 2017 IEEE Radar Conference, RadarConf 2017: . Paper presented at 2017 IEEE Radar Conference, RadarConf, Seattle (pp. 0502-0507). Institute of Electrical and Electronics Engineers Inc.
Öppna denna publikation i ny flik eller fönster >>Sequence optimization for integrated radar and communication systems using meta-heuristic multiobjective methods
2017 (Engelska)Ingår i: 2017 IEEE Radar Conference, RadarConf 2017, Institute of Electrical and Electronics Engineers Inc. , 2017, s. 0502-0507Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

In real-world engineering problems, several conflicting objective functions have often to be optimized simultaneously. Typically, the objective functions of these problems are too complex to solve using derivative-based optimization methods. Integration of navigation and radar functionality with communication applications is such a problem. Designing sequences for these systems is a difficult task. This task is further complicated by the following factors: (i) conflicting requirements on autocorrelation and crosscorrelation characteristics; (ii) the associated cost functions might be irregular and may have several local minima. Traditional or gradient based optimization methods may face challenges or are unsuitable to solve such a complex problem. In this paper, we pose simultaneous optimization of autocorrelation and crosscorrelation characteristics of Oppermann sequences as a multiobjective problem. We compare the performance of prominent state-of-the-art multiobjective evolutionary meta-heuristic algorithms to design Oppermann sequences for integrated radar and communication systems. © 2017 IEEE.

Ort, förlag, år, upplaga, sidor
Institute of Electrical and Electronics Engineers Inc., 2017
Serie
IEEE Radar Conference, ISSN 1097-5764
Nyckelord
Autocorrelation, Cost functions, Evolutionary algorithms, Heuristic algorithms, Multiobjective optimization, Optimization, Radar, Communication application, Conflicting objectives, Gradient-based optimization method, Meta heuristic algorithm, Multi-objective evolutionary, Multi-objective problem, Multiobjective method, Simultaneous optimization, Heuristic methods
Nationell ämneskategori
Annan elektroteknik och elektronik Signalbehandling
Identifikatorer
urn:nbn:se:bth-15010 (URN)10.1109/RADAR.2017.7944255 (DOI)000405307600096 ()2-s2.0-85021424787 (Scopus ID)9781467388238 (ISBN)
Konferens
2017 IEEE Radar Conference, RadarConf, Seattle
Tillgänglig från: 2017-08-23 Skapad: 2017-08-23 Senast uppdaterad: 2017-08-24Bibliografiskt granskad
Jamil, M. & Zepernick, H.-J. (2016). Sequence Design for Radar Applications Using Particle Swarm Optimization. In: PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON ADVANCED TECHNOLOGIES FOR COMMUNICATIONS (ATC): . Paper presented at 9th International Conference on Advanced Technologies for Communications (ATC), Hanoi, VIETNAM (pp. 210-214). IEEE
Öppna denna publikation i ny flik eller fönster >>Sequence Design for Radar Applications Using Particle Swarm Optimization
2016 (Engelska)Ingår i: PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON ADVANCED TECHNOLOGIES FOR COMMUNICATIONS (ATC), IEEE, 2016, s. 210-214Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

Performance of polyphase sequences in radar applications can be evaluated using measures including autocorrelation function, integrated sidelobe ratio (ISLR), and peak-tosidelobe ratio (PSLR). In this paper, we adopt particle swarm optimization to find optimal parameters of Oppermann sequences such that sequences with optimal ISLR and PSLR are generated. This class of sequences has been chosen as it allows to design for a wide range of correlation characteristics by essentially controlling three parameters. A sequence design example is provided in order to illustrate that particle swarm optimization is indeed well-suited to produce optimal sequence designs with respect to the considered performance measures.

Ort, förlag, år, upplaga, sidor
IEEE, 2016
Serie
Proceedings International Conference on Advanced Technologies for Communications, ISSN 2162-1020
Nyckelord
POLYPHASE; CODES
Nationell ämneskategori
Kommunikationssystem
Identifikatorer
urn:nbn:se:bth-13926 (URN)000392249400038 ()978-1-5090-2711-8 (ISBN)
Konferens
9th International Conference on Advanced Technologies for Communications (ATC), Hanoi, VIETNAM
Tillgänglig från: 2017-02-22 Skapad: 2017-02-22 Senast uppdaterad: 2017-03-16Bibliografiskt granskad
Jamil, M., Zepernick, H.-J. & Yang, X.-S. (2013). Levy Flight Based Cuckoo Search Algorithm for Synthesizing Cross-Ambiguity Functions. Paper presented at IEEE Military Communications Conference. Paper presented at IEEE Military Communications Conference. San Diego, USA: IEEE
Öppna denna publikation i ny flik eller fönster >>Levy Flight Based Cuckoo Search Algorithm for Synthesizing Cross-Ambiguity Functions
2013 (Engelska)Konferensbidrag, Publicerat paper (Refereegranskat) Published
Abstract [en]

The cross-ambiguity function (CAF) is commonly used to analyze the delay-Doppler characteristics of signals in radar, sonar, and communication systems. Accordingly, a CAF relates to the correlation processing of signals in the presence of delays and Doppler shifts. In this paper, we use a metaheuristic approach to address the CAF synthesis problem by jointly designing a pair of waveforms. The CAF of waveforms designed in this way, approximates a desired pre-defined CAF. It turns out that the waveforms designed by this approach have the benefit of low peak-to-average power ratios. Numerical examples are presented to show that nature-inspired metaheuristic algorithms can be used as an effective tool to synthesize different types of CAFs.

Ort, förlag, år, upplaga, sidor
San Diego, USA: IEEE, 2013
Nyckelord
Levy Flight, Cuckoo Search, Cross-Ambiguity Functions
Nationell ämneskategori
Telekommunikation
Identifikatorer
urn:nbn:se:bth-6355 (URN)000347184000139 ()oai:bth.se:forskinfo987441046CBED390C1257C2E005DAF47 (Lokalt ID)oai:bth.se:forskinfo987441046CBED390C1257C2E005DAF47 (Arkivnummer)oai:bth.se:forskinfo987441046CBED390C1257C2E005DAF47 (OAI)
Konferens
IEEE Military Communications Conference
Tillgänglig från: 2015-05-25 Skapad: 2013-11-25 Senast uppdaterad: 2015-06-30Bibliografiskt granskad
Jamil, M. & Zepernick, H.-J. (2013). Levy Flights and Global Optimization. In: Yang, Xin-She; Cui, Zhihua; Xiao, Renbin; Gandomi, Amir Hossein; Karamanoglu, Mehmet (Ed.), Swarm Intelligence and Bio-Inspired Computation: Theory and Applications (pp. 49-72). London: Elsevier
Öppna denna publikation i ny flik eller fönster >>Levy Flights and Global Optimization
2013 (Engelska)Ingår i: Swarm Intelligence and Bio-Inspired Computation: Theory and Applications / [ed] Yang, Xin-She; Cui, Zhihua; Xiao, Renbin; Gandomi, Amir Hossein; Karamanoglu, Mehmet, London: Elsevier , 2013, s. 49-72Kapitel i bok, del av antologi (Refereegranskat)
Abstract [en]

A review of metaheuristic algorithms (MAs) is presented. Levy flights (LFs) in the context of global optimization, the Levy distribution, a method to generate random numbers within this distribution are discussed. Subsequently, diversification and intensification in global optimization based on LFs are discussed. Then, MAs using LFs as a search mechanism to solve global optimization problems are presented along with highlighting the differences and similarities of different MAs.

Ort, förlag, år, upplaga, sidor
London: Elsevier, 2013
Nyckelord
Global optimization, Metaheuristic algorithms, Levy flights
Nationell ämneskategori
Matematik Telekommunikation Datavetenskap (datalogi)
Identifikatorer
urn:nbn:se:bth-6985 (URN)000324144900004 ()978-0-12-405163-8 (ISBN)
Tillgänglig från: 2013-05-22 Skapad: 2013-05-21 Senast uppdaterad: 2018-01-11Bibliografiskt granskad
Jamil, M. & Zepernick, H.-J. (2013). Multimodal function optimisation with cuckoo search algorithm. International Journal of Bio-Inspired Computation (IJBIC), 5(2), 73-83
Öppna denna publikation i ny flik eller fönster >>Multimodal function optimisation with cuckoo search algorithm
2013 (Engelska)Ingår i: International Journal of Bio-Inspired Computation (IJBIC), ISSN 1758-0366, E-ISSN 1758-0374, Vol. 5, nr 2, s. 73-83Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

Modern engineering and scientific optimisation problems are becoming complicated. In order to cope with the increasing level of difficulty of these problems, optimisation methods are required to find more than one solution to these problems. The aim of this paper is to gain an insight into the ability of cuckoo search to locate more than one solution for multimodal problems. We also study the performance of this algorithm in the additive white Gaussian noise. Numerical results are presented to show that the cuckoo search algorithm can successfully locate multiple solutions in both non-noise and additive white Gaussian noise with relatively high degree of accuracy.

Ort, förlag, år, upplaga, sidor
Interscience Publishers, 2013
Nyckelord
Optimization, Multimodal problems, Cuckoo search
Nationell ämneskategori
Matematik Telekommunikation Datavetenskap (datalogi)
Identifikatorer
urn:nbn:se:bth-6635 (URN)10.1504/IJBIC.2013.053509 (DOI)000320230800001 ()oai:bth.se:forskinfo2DD8B95CE757A295C1257B73002D55FF (Lokalt ID)oai:bth.se:forskinfo2DD8B95CE757A295C1257B73002D55FF (Arkivnummer)oai:bth.se:forskinfo2DD8B95CE757A295C1257B73002D55FF (OAI)
Tillgänglig från: 2014-07-18 Skapad: 2013-05-22 Senast uppdaterad: 2018-01-11Bibliografiskt granskad
Jamil, M., Yang, X.-S. & Zepernick, H.-J. (2013). Test Functions for Global Optimization: A Comprehensive Survey. In: Yang, Xin-She; Cui, Zhihua; Xiao, Renbin; Gandomi, Amir Hossein; Karamanoglu, Mehmet (Ed.), Swarm Intelligence and Bio-Inspired Computation: Theory and Applications (pp. 193-222). London: Elsevier
Öppna denna publikation i ny flik eller fönster >>Test Functions for Global Optimization: A Comprehensive Survey
2013 (Engelska)Ingår i: Swarm Intelligence and Bio-Inspired Computation: Theory and Applications / [ed] Yang, Xin-She; Cui, Zhihua; Xiao, Renbin; Gandomi, Amir Hossein; Karamanoglu, Mehmet, London: Elsevier , 2013, s. 193-222Kapitel i bok, del av antologi (Refereegranskat)
Abstract [en]

In this book chapter, we present a comprehensive collection of unconstrained optimization test problems that can be used as a benchmark function to validate and compare different optimization algorithms.

Ort, förlag, år, upplaga, sidor
London: Elsevier, 2013
Nyckelord
Global optimization, Test Functions
Nationell ämneskategori
Matematik Telekommunikation Datavetenskap (datalogi)
Identifikatorer
urn:nbn:se:bth-6984 (URN)000324144900009 ()978-0-12-405163-8 (ISBN)
Tillgänglig från: 2013-05-22 Skapad: 2013-05-21 Senast uppdaterad: 2018-01-11Bibliografiskt granskad
Jamil, M. & Zepernick, H.-J. (2011). Waveform Optimization for Integrated Radar and Communication Systems Using Meta-Heuristic Algorithms. In: Yang, Xin-She; Koziel, Slawomir (Ed.), Computational Optimization and Applications in Engineering and Industry: (pp. 183-203). Berlin: Springer-Verlag
Öppna denna publikation i ny flik eller fönster >>Waveform Optimization for Integrated Radar and Communication Systems Using Meta-Heuristic Algorithms
2011 (Engelska)Ingår i: Computational Optimization and Applications in Engineering and Industry / [ed] Yang, Xin-She; Koziel, Slawomir, Berlin: Springer-Verlag , 2011, s. 183-203Kapitel i bok, del av antologi (Refereegranskat)
Abstract [en]

Integration of multiple functions such as navigation and radar tasks with communication applications has attracted substantial interest in recent years. In this chapter, we therefore focus on the waveform optimization for such integrated systems based on Oppermann sequences. These sequences are defined by a number of parameters that can be chosen to design sequence sets for a wide range of performance characteristics. It will be shown that meta-heuristic algorithms are well suited to find the optimal parameters for these sequences. The motivation behind the use of biologically inspired heuristic and/or meta-heuristic algorithms is due to their ability to solve large, complex, and dynamic problems.

Ort, förlag, år, upplaga, sidor
Berlin: Springer-Verlag, 2011
Nyckelord
Waveform design, Meta--Heuristic Algorithms
Nationell ämneskategori
Telekommunikation Signalbehandling
Identifikatorer
urn:nbn:se:bth-7463 (URN)10.1007/978-3-642-20986-4_7 (DOI)oai:bth.se:forskinfo1A2B77E5A70E7DF0C12578FD002AC357 (Lokalt ID)978-364220985-7 (ISBN)oai:bth.se:forskinfo1A2B77E5A70E7DF0C12578FD002AC357 (Arkivnummer)oai:bth.se:forskinfo1A2B77E5A70E7DF0C12578FD002AC357 (OAI)
Anmärkning
http://www.springerlink.com/content/4772v5m55w383746/Tillgänglig från: 2012-09-18 Skapad: 2011-08-31 Senast uppdaterad: 2017-08-21Bibliografiskt granskad
Jamil, M., Zepernick, H.-J. & Pettersson, M. (2009). Cross-ambiguity function of weighted pulse trains with Oppermann sequences. Paper presented at 6th International Symposium on Wireless Communication Systems, ISWCS'09. Paper presented at 6th International Symposium on Wireless Communication Systems, ISWCS'09. Siena, Tuscany: IEEE
Öppna denna publikation i ny flik eller fönster >>Cross-ambiguity function of weighted pulse trains with Oppermann sequences
2009 (Engelska)Konferensbidrag, Publicerat paper (Refereegranskat) Published
Abstract [en]

The design of integrated radar and communication systems may be based on sets of polyphase sequences such as Oppermann sequences. In this paper, we derive an analytical expression for the cross-ambiguity function of weighted pulse trains with Oppermann sequences. Further, the auto-ambiguity function is deduced from this as a special case. Numerical examples are provided to illustrate the relationship between sequence parameters and performance characteristics.

Ort, förlag, år, upplaga, sidor
Siena, Tuscany: IEEE, 2009
Nyckelord
Ambiguity function, Analytical expressions, Cross-ambiguity function, Numerical example, Performance characteristics, Polyphase sequences, Pulse train
Nationell ämneskategori
Signalbehandling
Identifikatorer
urn:nbn:se:bth-7863 (URN)oai:bth.se:forskinfo616DEFCB1E012AEFC12576DA004961FD (Lokalt ID)978-142443584-5 (ISBN)oai:bth.se:forskinfo616DEFCB1E012AEFC12576DA004961FD (Arkivnummer)oai:bth.se:forskinfo616DEFCB1E012AEFC12576DA004961FD (OAI)
Konferens
6th International Symposium on Wireless Communication Systems, ISWCS'09
Tillgänglig från: 2012-09-18 Skapad: 2010-03-02 Senast uppdaterad: 2017-08-21Bibliografiskt granskad
Jamil, M., Zepernick, H.-J. & Pettersson, M. (2009). Properties of ambiguity functions for weighted pulse trains with oppermann sequences. Paper presented at 3rd International Conference on Signal Processing and Communication Systems, ICSPCS'2009. Paper presented at 3rd International Conference on Signal Processing and Communication Systems, ICSPCS'2009. Omaha
Öppna denna publikation i ny flik eller fönster >>Properties of ambiguity functions for weighted pulse trains with oppermann sequences
2009 (Engelska)Konferensbidrag, Publicerat paper (Refereegranskat) Published
Abstract [en]

In this paper, we consider properties of the autoambiguity and cross-ambiguity functions of weighted pulse trains with Oppermann sequences. Several properties are examined and proved which in turn allows for reducing the design space for optimization of a particular design. The insights gained from these properties are consolidated in a formal framework leading to procedures that can be used for a more structured waveform design. Numerical examples are provided to illustrate the relationship between sequence parameters and performance characteristics.

Ort, förlag, år, upplaga, sidor
Omaha: , 2009
Nyckelord
Ambiguity function, Cross-ambiguity function, Design spaces, Formal framework, Numerical example, Performance characteristics, Pulse trveform designsain, Wa
Nationell ämneskategori
Signalbehandling
Identifikatorer
urn:nbn:se:bth-7862 (URN)10.1109/ICSPCS.2009.5306402 (DOI)000275051500038 ()oai:bth.se:forskinfo33F9CA2413C12D07C12576DA0049ED35 (Lokalt ID)978-142444474-8 (ISBN)oai:bth.se:forskinfo33F9CA2413C12D07C12576DA0049ED35 (Arkivnummer)oai:bth.se:forskinfo33F9CA2413C12D07C12576DA0049ED35 (OAI)
Konferens
3rd International Conference on Signal Processing and Communication Systems, ICSPCS'2009
Tillgänglig från: 2012-09-18 Skapad: 2010-03-02 Senast uppdaterad: 2017-08-21Bibliografiskt granskad
Jamil, M., Zepernick, H.-J. & Pettersson, M. (2008). On Integrated Radar and Communication Systems Using Oppermann Sequences. Paper presented at IEEE Military Communications Conference. Paper presented at IEEE Military Communications Conference. San Diego/U.S.A.: IEEE
Öppna denna publikation i ny flik eller fönster >>On Integrated Radar and Communication Systems Using Oppermann Sequences
2008 (Engelska)Konferensbidrag, Publicerat paper (Refereegranskat) Published
Abstract [en]

In this paper, we consider the design of integrated radar and communication systems that utilize weighted pulse trains with the elements of Oppermann sequences serving as complex-valued weights. An analytical expression of the ambiguity function for weighted pulse trains with Oppermann sequences is derived. Given a family of Oppermann sequences, it is shown that the related ambiguity function depends only on one sequence parameter. This property simplifies the design of the associated weighted pulse trains as it constrains the degrees of freedom. In contrast to the single polyphase pulse compression sequences that are typically deployed in radar applications, the families considered in this paper form sets of sequences. As such, they readily facilitate also multiple-access in communication systems. Numerical examples are provided that show the wide range of options offered by Oppermann sequences in the design of integrated radar and communication systems.

Ort, förlag, år, upplaga, sidor
San Diego/U.S.A.: IEEE, 2008
Nyckelord
Oppermann Sequences, Radar, Communication
Nationell ämneskategori
Telekommunikation Signalbehandling
Identifikatorer
urn:nbn:se:bth-8396 (URN)000266709300246 ()oai:bth.se:forskinfo5925A6FC1B3BEF75C12574C700482786 (Lokalt ID)978-1-4244-2676-8 (ISBN)oai:bth.se:forskinfo5925A6FC1B3BEF75C12574C700482786 (Arkivnummer)oai:bth.se:forskinfo5925A6FC1B3BEF75C12574C700482786 (OAI)
Konferens
IEEE Military Communications Conference
Tillgänglig från: 2012-09-18 Skapad: 2008-09-17 Senast uppdaterad: 2017-08-21Bibliografiskt granskad
Organisationer

Sök vidare i DiVA

Visa alla publikationer