Beampattern Optimization for Frequency Diverse Array With Sparse Frequency Waveforms

Multiple-input multiple-output (MIMO) radar equipped with a frequency diverse array (FDA) can produce a range-dependent beampattern and increase the degrees-of-freedom of the antenna array. In this paper, a new method of designing the MIMO radar beampattern with sparse frequency waveforms is propose...

Full description

Bibliographic Details
Main Authors: Mai, Chaoyun, Lu, Songtao, Sun, Jinping, Wang, Guohua
Other Authors: Temasek Laboratories
Format: Journal Article
Language:English
Published: 2018
Subjects:
Online Access:https://hdl.handle.net/10356/86834
http://hdl.handle.net/10220/44255
_version_ 1811682082498281472
author Mai, Chaoyun
Lu, Songtao
Sun, Jinping
Wang, Guohua
author2 Temasek Laboratories
author_facet Temasek Laboratories
Mai, Chaoyun
Lu, Songtao
Sun, Jinping
Wang, Guohua
author_sort Mai, Chaoyun
collection NTU
description Multiple-input multiple-output (MIMO) radar equipped with a frequency diverse array (FDA) can produce a range-dependent beampattern and increase the degrees-of-freedom of the antenna array. In this paper, a new method of designing the MIMO radar beampattern with sparse frequency waveforms is proposed for the FDA, which randomly samples multiple distance points such that the MIMO radar beampattern with the both sparse frequency spectrum and constant modulus constraints are realized by the proposed beampattern design framework. The main steps are as follows. We first obtain the covariance matrix of the transmitted signal by a given ideal beampattern, and formulate the problem of designing the realizable beampattern as a nonconvex optimization problem, which includes the constraints of the both constant modulus of transmitted signals and sparse frequency spectrum. Then, a cyclic optimization algorithm is proposed, which guarantees the monotonic decrease of the objective function as the algorithm proceeds. The simulation results illustrate that the proposed method can achieve smaller errors than the traditional method, which does not consider the frequency diversity.
first_indexed 2024-10-01T03:51:11Z
format Journal Article
id ntu-10356/86834
institution Nanyang Technological University
language English
last_indexed 2024-10-01T03:51:11Z
publishDate 2018
record_format dspace
spelling ntu-10356/868342020-09-26T22:17:13Z Beampattern Optimization for Frequency Diverse Array With Sparse Frequency Waveforms Mai, Chaoyun Lu, Songtao Sun, Jinping Wang, Guohua Temasek Laboratories Multiple-Input Multiple-Output (MIMO) Frequency Diverse Array (FDA) Multiple-input multiple-output (MIMO) radar equipped with a frequency diverse array (FDA) can produce a range-dependent beampattern and increase the degrees-of-freedom of the antenna array. In this paper, a new method of designing the MIMO radar beampattern with sparse frequency waveforms is proposed for the FDA, which randomly samples multiple distance points such that the MIMO radar beampattern with the both sparse frequency spectrum and constant modulus constraints are realized by the proposed beampattern design framework. The main steps are as follows. We first obtain the covariance matrix of the transmitted signal by a given ideal beampattern, and formulate the problem of designing the realizable beampattern as a nonconvex optimization problem, which includes the constraints of the both constant modulus of transmitted signals and sparse frequency spectrum. Then, a cyclic optimization algorithm is proposed, which guarantees the monotonic decrease of the objective function as the algorithm proceeds. The simulation results illustrate that the proposed method can achieve smaller errors than the traditional method, which does not consider the frequency diversity. Published version 2018-01-08T04:42:56Z 2019-12-06T16:29:54Z 2018-01-08T04:42:56Z 2019-12-06T16:29:54Z 2017 Journal Article Mai, C., Lu, S., Sun, J., & Wang, G. (2017). Beampattern Optimization for Frequency Diverse Array With Sparse Frequency Waveforms. IEEE Access, 5, 17914-17926. https://hdl.handle.net/10356/86834 http://hdl.handle.net/10220/44255 10.1109/ACCESS.2017.2703647 en IEEE Access © 2017 IEEE. Translations and content mining are permitted for academic research only. Personal use is also permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information. 13 p. application/pdf
spellingShingle Multiple-Input Multiple-Output (MIMO)
Frequency Diverse Array (FDA)
Mai, Chaoyun
Lu, Songtao
Sun, Jinping
Wang, Guohua
Beampattern Optimization for Frequency Diverse Array With Sparse Frequency Waveforms
title Beampattern Optimization for Frequency Diverse Array With Sparse Frequency Waveforms
title_full Beampattern Optimization for Frequency Diverse Array With Sparse Frequency Waveforms
title_fullStr Beampattern Optimization for Frequency Diverse Array With Sparse Frequency Waveforms
title_full_unstemmed Beampattern Optimization for Frequency Diverse Array With Sparse Frequency Waveforms
title_short Beampattern Optimization for Frequency Diverse Array With Sparse Frequency Waveforms
title_sort beampattern optimization for frequency diverse array with sparse frequency waveforms
topic Multiple-Input Multiple-Output (MIMO)
Frequency Diverse Array (FDA)
url https://hdl.handle.net/10356/86834
http://hdl.handle.net/10220/44255
work_keys_str_mv AT maichaoyun beampatternoptimizationforfrequencydiversearraywithsparsefrequencywaveforms
AT lusongtao beampatternoptimizationforfrequencydiversearraywithsparsefrequencywaveforms
AT sunjinping beampatternoptimizationforfrequencydiversearraywithsparsefrequencywaveforms
AT wangguohua beampatternoptimizationforfrequencydiversearraywithsparsefrequencywaveforms