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On Sequence Design for Integrated Radar and Communication Systems
Blekinge Institute of Technology, Faculty of Computing, Department of Creative Technologies. Harman/Becker Automotive Systems GmbH, Karlsbad, Germany.
2017 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The motivation of having a joint radar and communication system on a single hardware is driven by space, military, and commercial applications. However, designing sequences that can simultaneously support radar and communication functionalities is one of the major hurdles in the practical implementation of these systems. In order to facilitate a simultaneous use of sequences for both radar and communication systems, a flexible sequence design is needed.

The objective of this dissertation is to address the sequence design problem for integrated radar and communication systems. The sequence design for these systems requires a trade-off between different performance measures, such as correlation characteristics, integrated sidelobe ratio, peak-to-sidelobe ratio and ambiguity function. The problem of finding a trade-off between various performance measures is solved by employing meta-heuristic algorithms.

This dissertation is divided into an introduction and three research parts based on peer-reviewed publications. The introduction provides background on binary and polyphase sequences, their use in radar and communication systems, sequence design requirements for integrated radar and communication systems, and application of meta-heuristic optimization algorithms to find optimal sets of sequences for these systems.

In Part I-A, the performance of conventional polyphase pulse compression sequences is compared with Oppermann sequences. In Part I-B, weighted pulse trains with the elements of Oppermann sequences serving as complex-valued weights are utilized for the design of integrated radar and communication systems. In Part I-C, an analytical expression for the cross-ambiguity function of weighted pulse trains with Oppermann sequences is derived. Several properties of the related auto-ambiguity and cross-ambiguity functions are derived in Part I-D. In Part II, the potential of meta-heuristic algorithms for finding optimal parameter values of Oppermann sequences for radar, communications, and integrated radar and communication systems is studied. In Part III-A, a meta-heuristic algorithm mimicking the breeding behavior of Cuckoos is used to locate more than one solution for multimodal problems. Further, the performance of this algorithm is evaluated in additive white Gaussian noise (AWGN). It is shown that the Cuckoo search algorithm can successfully locate multiple solutions in both non-noise and AWGN with relatively high degree of accuracy. In Part III-B, the cross-ambiguity function synthesization problem is addressed. A meta-heuristic algorithm based on echolocation of bats is used to design a pair of sequences to minimize the integrated square error between the desired cross-ambiguity function and a synthesized cross-ambiguity function.

Place, publisher, year, edition, pages
Karlskrona: Blekinge Tekniska Högskola, 2017. , 262 p.
Series
Blekinge Institute of Technology Doctoral Dissertation Series, ISSN 1653-2090 ; 1653-2090
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:bth-15009ISBN: 978-91-7295-340-6 (print)OAI: oai:DiVA.org:bth-15009DiVA: diva2:1134933
Public defence
2017-11-06, J1640, Campus Gräsvik, Karlskrona, 10:15 (English)
Opponent
Supervisors
Available from: 2017-08-29 Created: 2017-08-21 Last updated: 2017-09-13Bibliographically approved
List of papers
1. Performance Assessment of Polyphase Pulse Compression Codes
Open this publication in new window or tab >>Performance Assessment of Polyphase Pulse Compression Codes
2008 (English)Conference paper, Published paper (Refereed) Published
Abstract [en]

The performance of conventional polyphase pulse compression codes such as the Frank, Frank-Zadoff-Chu (FZC), P1, P2, P3, P4, and Px codes will be compared with Oppermann codes. While the majority of the former code classes focus on radar applications, Oppermann codes have been discussed only within the context of code-division multiple-access (CDMA) systems. In this paper, we therefore consolidate findings on the conventional codes and extend the performance assessment to Oppermann codes by accounting for Doppler shifts as needed in radar applications. It is shown that Oppermann codes can conceptually support integrated radar and communication systems as compared to the P1, P2, P3, P4, and Px codes where this is not readily feasible. The numerical results given here illustrate that Oppermann codes outperform Px codes in the presence of Doppler shifts as supported by the ambiguity function.

Place, publisher, year, edition, pages
Bologna, Italy: IEEE, 2008
Keyword
CDMA, Spread Spectrum, Polyphase Codes
National Category
Telecommunications Signal Processing
Identifiers
urn:nbn:se:bth-8567 (URN)oai:bth.se:forskinfoDB2EBEBF484B6DDAC1257478004ED0E3 (Local ID)oai:bth.se:forskinfoDB2EBEBF484B6DDAC1257478004ED0E3 (Archive number)oai:bth.se:forskinfoDB2EBEBF484B6DDAC1257478004ED0E3 (OAI)
Conference
IEEE International Symposium on Spread Spectrum Techniques and Applications
Available from: 2012-09-18 Created: 2008-06-30 Last updated: 2017-08-21Bibliographically approved
2. On Integrated Radar and Communication Systems Using Oppermann Sequences
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
Keyword
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
3. Cross-ambiguity function of weighted pulse trains with Oppermann sequences
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
Keyword
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
4. Properties of ambiguity functions for weighted pulse trains with oppermann sequences
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
Keyword
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
5. Waveform Optimization for Integrated Radar and Communication Systems Using Meta-Heuristic Algorithms
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, 183-203 p.Chapter 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
Keyword
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
6. Multimodal function optimisation with cuckoo search algorithm
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, 73-83 p.Article 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
Keyword
Optimization, Multimodal problems, Cuckoo search
National Category
Mathematics Telecommunications Computer Science
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: 2017-08-21Bibliographically approved
7. Synthesizing Cross-Ambiguity Functions Using An Improved Bat Algorithm
Open this publication in new window or tab >>Synthesizing Cross-Ambiguity Functions Using An Improved Bat Algorithm
2015 (English)In: Recent Advances in Swarm Intelligence and Evolutionary Computation / [ed] Yang, Xin-She, Berlin: Springer , 2015Chapter in book (Refereed)
Abstract [en]

The cross-ambiguity function (CAF) relates to the correlation processing of signals in radar, sonar, and communication systems in the presence of delays and Doppler shifts. It is a commonly used tool in the analysis of signals in these systems when both delay and Doppler shifts are present. In this chapter, we aim to tackle the CAF synthesization problem such that the synthesized CAF approximates a desired CAF. A CAF synthesization problem is addressed by jointly designing a pair of waveforms using a metaheuristic approach based on the echolocation of bats. Through four examples, it is shown that such an approach can be used as an effective tool in synthesizing different types of CAFs.

Place, publisher, year, edition, pages
Berlin: Springer, 2015
Series
Studies in Computational Intelligence, ISSN 1860-949X ; Volume 585, 2015, Pages 189-202
Keyword
Metaheuristic Algorithms, Improved Bat Algorithm, Cross-Ambiguity Function
National Category
Telecommunications
Identifiers
urn:nbn:se:bth-6550 (URN)oai:bth.se:forskinfo39563B887470C571C1257D9500572FF0 (Local ID)978-3-319-13825-1 (ISBN)oai:bth.se:forskinfo39563B887470C571C1257D9500572FF0 (Archive number)oai:bth.se:forskinfo39563B887470C571C1257D9500572FF0 (OAI)
External cooperation:
Note

Series: Studies in Computational Intelligence, Vol. 585

Available from: 2014-11-20 Created: 2014-11-19 Last updated: 2017-08-21Bibliographically approved

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