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On Integrated Radar and Communication Systems Using Oppermann Sequences
Responsible organisation
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 [en]
Oppermann Sequences, Radar, Communication
National Category
Telecommunications Signal Processing
Identifiers
URN: urn:nbn:se:bth-8396ISI: 000266709300246Local ID: oai:bth.se:forskinfo5925A6FC1B3BEF75C12574C700482786ISBN: 978-1-4244-2676-8 (print)OAI: oai:DiVA.org:bth-8396DiVA: diva2:836114
Conference
IEEE Military Communications Conference
Available from: 2012-09-18 Created: 2008-09-17 Last updated: 2017-08-21Bibliographically approved
In thesis
1. On Sequence Design for Integrated Radar and Communication Systems
Open this publication in new window or tab >>On Sequence Design for Integrated Radar and Communication Systems
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:nbn:se:bth-15009 (URN)978-91-7295-340-6 (ISBN)
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: 2017-11-02Bibliographically approved

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Jamil, MominZepernick, Hans-JürgenPettersson, Mats

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