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Jamil, Momin
Publications (10 of 11) Show all publications
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.
Open this publication in new window or tab >>Sequence optimization for integrated radar and communication systems using meta-heuristic multiobjective methods
2017 (English)In: 2017 IEEE Radar Conference, RadarConf 2017, Institute of Electrical and Electronics Engineers Inc. , 2017, p. 0502-0507Conference paper, Published paper (Refereed)
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.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc., 2017
Series
IEEE Radar Conference, ISSN 1097-5764
Keywords
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
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering Signal Processing
Identifiers
urn:nbn:se:bth-15010 (URN)10.1109/RADAR.2017.7944255 (DOI)000405307600096 ()2-s2.0-85021424787 (Scopus ID)9781467388238 (ISBN)
Conference
2017 IEEE Radar Conference, RadarConf, Seattle
Available from: 2017-08-23 Created: 2017-08-23 Last updated: 2017-08-24Bibliographically approved
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
Open this publication in new window or tab >>Sequence Design for Radar Applications Using Particle Swarm Optimization
2016 (English)In: PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON ADVANCED TECHNOLOGIES FOR COMMUNICATIONS (ATC), IEEE, 2016, p. 210-214Conference paper, Published paper (Refereed)
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.

Place, publisher, year, edition, pages
IEEE, 2016
Series
Proceedings International Conference on Advanced Technologies for Communications, ISSN 2162-1020
Keywords
POLYPHASE; CODES
National Category
Communication Systems
Identifiers
urn:nbn:se:bth-13926 (URN)000392249400038 ()978-1-5090-2711-8 (ISBN)
Conference
9th International Conference on Advanced Technologies for Communications (ATC), Hanoi, VIETNAM
Available from: 2017-02-22 Created: 2017-02-22 Last updated: 2017-03-16Bibliographically approved
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
Open this publication in new window or tab >>Levy Flight Based Cuckoo Search Algorithm for Synthesizing Cross-Ambiguity Functions
2013 (English)Conference paper, Published paper (Refereed) 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.

Place, publisher, year, edition, pages
San Diego, USA: IEEE, 2013
Keywords
Levy Flight, Cuckoo Search, Cross-Ambiguity Functions
National Category
Telecommunications
Identifiers
urn:nbn:se:bth-6355 (URN)000347184000139 ()oai:bth.se:forskinfo987441046CBED390C1257C2E005DAF47 (Local ID)oai:bth.se:forskinfo987441046CBED390C1257C2E005DAF47 (Archive number)oai:bth.se:forskinfo987441046CBED390C1257C2E005DAF47 (OAI)
Conference
IEEE Military Communications Conference
Available from: 2015-05-25 Created: 2013-11-25 Last updated: 2015-06-30Bibliographically approved
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
Open this publication in new window or tab >>Levy Flights and Global Optimization
2013 (English)In: 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, p. 49-72Chapter in book (Refereed)
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.

Place, publisher, year, edition, pages
London: Elsevier, 2013
Keywords
Global optimization, Metaheuristic algorithms, Levy flights
National Category
Mathematics Telecommunications Computer Sciences
Identifiers
urn:nbn:se:bth-6985 (URN)000324144900004 ()978-0-12-405163-8 (ISBN)
Available from: 2013-05-22 Created: 2013-05-21 Last updated: 2018-01-11Bibliographically approved
Jamil, M. & Zepernick, H.-J. (2013). Multimodal function optimisation with cuckoo search algorithm. International Journal of Bio-Inspired Computation (IJBIC), 5(2), 73-83
Open this publication in new window or tab >>Multimodal function optimisation with cuckoo search algorithm
2013 (English)In: International Journal of Bio-Inspired Computation (IJBIC), ISSN 1758-0366, E-ISSN 1758-0374, Vol. 5, no 2, p. 73-83Article in journal (Refereed) 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.

Place, publisher, year, edition, pages
Interscience Publishers, 2013
Keywords
Optimization, Multimodal problems, Cuckoo search
National Category
Mathematics Telecommunications Computer Sciences
Identifiers
urn:nbn:se:bth-6635 (URN)10.1504/IJBIC.2013.053509 (DOI)000320230800001 ()oai:bth.se:forskinfo2DD8B95CE757A295C1257B73002D55FF (Local ID)oai:bth.se:forskinfo2DD8B95CE757A295C1257B73002D55FF (Archive number)oai:bth.se:forskinfo2DD8B95CE757A295C1257B73002D55FF (OAI)
Available from: 2014-07-18 Created: 2013-05-22 Last updated: 2018-01-11Bibliographically approved
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
Open this publication in new window or tab >>Test Functions for Global Optimization: A Comprehensive Survey
2013 (English)In: 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, p. 193-222Chapter in book (Refereed)
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.

Place, publisher, year, edition, pages
London: Elsevier, 2013
Keywords
Global optimization, Test Functions
National Category
Mathematics Telecommunications Computer Sciences
Identifiers
urn:nbn:se:bth-6984 (URN)000324144900009 ()978-0-12-405163-8 (ISBN)
Available from: 2013-05-22 Created: 2013-05-21 Last updated: 2018-01-11Bibliographically approved
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
Open this publication in new window or tab >>Waveform Optimization for Integrated Radar and Communication Systems Using Meta-Heuristic Algorithms
2011 (English)In: Computational Optimization and Applications in Engineering and Industry / [ed] Yang, Xin-She; Koziel, Slawomir, Berlin: Springer-Verlag , 2011, p. 183-203Chapter in book (Refereed)
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.

Place, publisher, year, edition, pages
Berlin: Springer-Verlag, 2011
Keywords
Waveform design, Meta--Heuristic Algorithms
National Category
Telecommunications Signal Processing
Identifiers
urn:nbn:se:bth-7463 (URN)10.1007/978-3-642-20986-4_7 (DOI)oai:bth.se:forskinfo1A2B77E5A70E7DF0C12578FD002AC357 (Local ID)978-364220985-7 (ISBN)oai:bth.se:forskinfo1A2B77E5A70E7DF0C12578FD002AC357 (Archive number)oai:bth.se:forskinfo1A2B77E5A70E7DF0C12578FD002AC357 (OAI)
Note
http://www.springerlink.com/content/4772v5m55w383746/Available from: 2012-09-18 Created: 2011-08-31 Last updated: 2017-08-21Bibliographically approved
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
Open this publication in new window or tab >>Cross-ambiguity function of weighted pulse trains with Oppermann sequences
2009 (English)Conference paper, Published paper (Refereed) 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.

Place, publisher, year, edition, pages
Siena, Tuscany: IEEE, 2009
Keywords
Ambiguity function, Analytical expressions, Cross-ambiguity function, Numerical example, Performance characteristics, Polyphase sequences, Pulse train
National Category
Signal Processing
Identifiers
urn:nbn:se:bth-7863 (URN)oai:bth.se:forskinfo616DEFCB1E012AEFC12576DA004961FD (Local ID)978-142443584-5 (ISBN)oai:bth.se:forskinfo616DEFCB1E012AEFC12576DA004961FD (Archive number)oai:bth.se:forskinfo616DEFCB1E012AEFC12576DA004961FD (OAI)
Conference
6th International Symposium on Wireless Communication Systems, ISWCS'09
Available from: 2012-09-18 Created: 2010-03-02 Last updated: 2017-08-21Bibliographically approved
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
Open this publication in new window or tab >>Properties of ambiguity functions for weighted pulse trains with oppermann sequences
2009 (English)Conference paper, Published paper (Refereed) 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.

Place, publisher, year, edition, pages
Omaha: , 2009
Keywords
Ambiguity function, Cross-ambiguity function, Design spaces, Formal framework, Numerical example, Performance characteristics, Pulse trveform designsain, Wa
National Category
Signal Processing
Identifiers
urn:nbn:se:bth-7862 (URN)10.1109/ICSPCS.2009.5306402 (DOI)000275051500038 ()oai:bth.se:forskinfo33F9CA2413C12D07C12576DA0049ED35 (Local ID)978-142444474-8 (ISBN)oai:bth.se:forskinfo33F9CA2413C12D07C12576DA0049ED35 (Archive number)oai:bth.se:forskinfo33F9CA2413C12D07C12576DA0049ED35 (OAI)
Conference
3rd International Conference on Signal Processing and Communication Systems, ICSPCS'2009
Available from: 2012-09-18 Created: 2010-03-02 Last updated: 2017-08-21Bibliographically approved
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
Open this publication in new window or tab >>On Integrated Radar and Communication Systems Using Oppermann Sequences
2008 (English)Conference paper, Published paper (Refereed) 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.

Place, publisher, year, edition, pages
San Diego/U.S.A.: IEEE, 2008
Keywords
Oppermann Sequences, Radar, Communication
National Category
Telecommunications Signal Processing
Identifiers
urn:nbn:se:bth-8396 (URN)000266709300246 ()oai:bth.se:forskinfo5925A6FC1B3BEF75C12574C700482786 (Local ID)978-1-4244-2676-8 (ISBN)oai:bth.se:forskinfo5925A6FC1B3BEF75C12574C700482786 (Archive number)oai:bth.se:forskinfo5925A6FC1B3BEF75C12574C700482786 (OAI)
Conference
IEEE Military Communications Conference
Available from: 2012-09-18 Created: 2008-09-17 Last updated: 2017-08-21Bibliographically approved
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