Convex optimization based beam-space preprocessing with improved robustness against out-of-sector sources

Hassanien, Aboulnasr; Elkader, S.A.; Gershman, A.B.; Wong, K.M.

doi:10.1109/tsp.2006.870564

Cited by 44 publications

(25 citation statements)

References 24 publications

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“…Several signal-processing-based techniques for rejection of unwanted signals have been proposed in [36][37][38][39][40]. In addition, the beamspace design for PAR is examined in [41]. In this paper, we make use of the transmit beamspace of FDA radar design that was investigated in [35].…”

Section: Principle Of Interference and Deceptive Jamming Suppressionmentioning

confidence: 99%

Subarray-based FDA radar to counteract deceptive ECM signals

Abdalla

Wang

Zhao

et al. 2016

EURASIP J. Adv. Signal Process.

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In recent years, the frequency diverse array (FDA) radar concept has attracted extensive attention, as it may benefit from a small frequency increment, compared to the carrier frequency across the array elements and thereby achieve an array factor that is a function of the angle, the time, and the range which is superior to the conventional phase array radar (PAR). However, limited effort on the subject of FDA in electronic countermeasure scenarios, especially in the presence of mainbeam deceptive jamming, has been published. Basic FDA is not desirable for anti-jamming applications, due to the range-angle coupling response of targets. In this paper, a novel method based on subarrayed FDA signal processing is proposed to counteract deceptive ECM signals. We divide the FDA array into multiple subarrays, each of which employs a distinct frequency increment. As a result, in the subarray-based FDA, the desired target can be distinguished at subarray level in joint range-angle-Doppler domain by utilizing the fact that the jammer generates false targets with the same ranges to each subarray without reparations. The performance assessment shows that the proposed solution is effective for deceptive ECM targets suppression. The effectiveness is verified by simulation results.

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Section: Principle Of Interference and Deceptive Jamming Suppressionmentioning

confidence: 99%

Subarray-based FDA radar to counteract deceptive ECM signals

Abdalla

Wang

Zhao

et al. 2016

EURASIP J. Adv. Signal Process.

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“…Technically, we first exploit the spheroidal sequences based methods [8], [14] to achieve a quiescent response beamspace matrix which ensures the preservation of energy received within the desired sector Θ. Then, we propose to design robust/adaptive RD beamspace processing, aiming at preserving the desired signal components while suppressing the in-sector powerful jammers and/or filtering out the interfering components that come from outside Θ.…”

Section: Beamspace Design With Robustness/adaptivenessmentioning

confidence: 99%

MIMO radar capability on powerful jammers suppression

Vorobyov

Hassanien

2014

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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The problem of jammers suppression in colocated multipleinput multiple-output (MIMO) radar is considered. We resort to reduced dimension (RD) beamspace designs with robustness/adaptiveness to achieve the goal of efficient jammers suppression. Specifically, our RD beamspace techniques aim at designing optimal beamspace matrices based on reasonable tradeoffs between the desired in-sector source distortion and the powerful jammer (possibly in-sector) attenuation when conducting the jammers suppression. These designs are cast as convex optimization problems which are derived using secondorder cone programming. Meanwhile, we study the MUSICbased direction-of-arrival estimation performance of the proposed beamspace designs by comparing to the conventional algorithms. Moreover, we demonstrate that the capability of efficient powerful in-sector jammers suppression using these designs is unique in MIMO radar.

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“…Similarly, Gu and Leshem [23], Huang et al [24], Chan and Chen [25], Boyer [26], Xu et al [27], Mak and Manikas [28], Shi and Lin [29], Behrens and Scharf [30], Mao et al [31], and Mao et al [32] employed beamforming techniques to suppress inference signals. Hassanien et al [33], Vaccaro and Harrison [34], and Han and Zhang [35] designed matrix filters to cancel out-of-sector interference signals. It should be noted that these mentioned algorithms are based on accurate prior DOA of the SOI, and some of them may also require necessary DOA information of interference signals.…”

Section: Introductionmentioning

confidence: 99%

Localization and identification of unknown target signal using oblique projection

Huo

Hou

Mao

2018

J Wireless Com Network

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The problem of source localization and waveform identification is the key of array signal processing. In this paper, an oblique projection-based localization and identification (OPLI) algorithm is proposed without known prior DOA or waveform information of the sources. The proposed OPLI is implemented iteratively. In each iteration, oblique projection is employed to separate the multiple incident signals into a series of single signal groups. After that, the procedure of waveform and DOA estimation for each single signal is implemented. Theoretical analysis and simulation result verify the performance and effectiveness of the proposed OPLI.

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Convex optimization based beam-space preprocessing with improved robustness against out-of-sector sources

Cited by 44 publications

References 24 publications

Subarray-based FDA radar to counteract deceptive ECM signals

Subarray-based FDA radar to counteract deceptive ECM signals

MIMO radar capability on powerful jammers suppression

Localization and identification of unknown target signal using oblique projection

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