FDA‐MIMO for joint angle and range estimation: unfolded coprime framework and parameter estimation algorithm

Wang, Cheng; Li, Zheng; Zhang, Xiaofei

doi:10.1049/iet-rsn.2019.0479

Cited by 18 publications

(12 citation statements)

References 38 publications

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“…Therefore, for the deception scenario under the amplitudeand phase-based reconnaissance as Figure 4 shows, the regulation effect of Δf is studied using the Monte Carlo method. According to (15) and (25), and changing the frequency randomly, Figure 5 gives the regulation of the frequency increment sequence on the deception effect under 2000 Monte Carlo tests.…”

Section: Problem Formulation and Optimizationmentioning

confidence: 99%

Deceptive signal generating optimization based on frequency diverse array

Xie

Chen

2022

IET Radar Sonar & Navi

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The direction and position of the radar signals are essential information in the radar countermeasure, and with the development of the reconnaissance system, the radar is facing more severe threats. However, the high‐gain beam and even‐distribute phase of the phased‐array radar restrict the further development of radar protection measures. Therefore, considering the angle‐range‐time‐coupled beam and phase of the frequency diverse array (FDA), we proposed a deceptive signal generating method based on the FDA. Firstly, the amplitude‐ and phase‐based reconnaissance countermeasures were established, respectively. Moreover, the regulation ability of the frequency increment sequence was studied. Therefore, by finding the appreciated frequency increment sequence that can regulate the FDA signals, the proposed FDA can generate deceptive signals that counter both the amplitude‐ and phase‐based reconnaissance system. The instantaneous signal‐to‐noise ratio and Cramér–Rao lower bound were considered to verify the method. Numerical examples and simulations showed that the proposed countermeasure could generate deceptive signals with good error tolerance, whether in a noisy or non‐noise environment.

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Section: Problem Formulation and Optimizationmentioning

confidence: 99%

Deceptive signal generating optimization based on frequency diverse array

Xie

Chen

2022

IET Radar Sonar & Navi

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“…This co-prime FDA was improved in [28] through a doubly-Toeplitz-based estimation, which incorporated coarray interpolation and off-grid estimation techniques. Recently, co-prime FDA-MIMO has also been investigated to further enhance the accuracy and resolution performance through additional DoFs in polarization [29] or unfolded structures [30]. In [31], a sparse variant of FDA-MIMO with linear offsets was optimized for an optimal antenna placement.…”

Section: Introductionmentioning

confidence: 99%

Co-Pulsing FDA Radar

Lv¹,

Mishra²,

Chen³

2022

Preprint

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Target localization based on frequency diverse array (FDA) radar has lately garnered significant research interest. A linear frequency offset (FO) across FDA antennas yields a range-angle dependent beampattern that allows for joint estimation of range and direction-of-arrival (DoA). Prior works on FDA largely focus on the one-dimensional linear array to estimate only azimuth angle and range while ignoring the elevation and Doppler velocity. However, in many applications, the latter two parameters are also essential for target localization. Further, there is also an interest in radar systems that employ fewer measurements in temporal, Doppler, or spatial signal domains. We address these multiple challenges by proposing a co-prime L-Shaped FDA, wherein co-prime FOs are applied across the elements of L-shaped co-prime array and each element transmits at a non-uniform co-prime pulse repetition interval (C 3 or C-Cube). This co-pulsing FDA yields significantly large degrees-of-freedom (DoFs) for target localization in the range-azimuth-elevation-Doppler domain while also reducing the time-on-target and transmit spectral usage. By exploiting these DoFs, we develop C-Cube auto-pairing (CCing) algorithm, in which all the parameters are ipso facto paired during a joint estimation. We show that C-Cube FDA requires at least 2 √ Q + 1 − 1 antenna elements and 2 √ Q + 1 − 1 pulses to guarantee perfect recovery of Q targets as against Q + 1 elements and Q + 1 pulses required by both L-shaped uniform linear array and L-shaped linear FO FDA with uniform pulsing. Numerical experiments with our CCing algorithm show great performance improvements in parameter recovery, wherein C-Cube radar achieves at least 15% higher target hit-rate with shorter dwell time than its uniform counterparts.

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“…[3][4][5][6][7] Different from phased array (PA) producing angle-dependent beampattern, FDA generates a range-angle-dependent beampattern by applying tiny frequency offsets across the array elements. Due to its more degrees of freedom (DOF) in the range dimension, FDA provides more capabilities such as parameter estimation [8][9][10] target indication 11 and jamming suppression [12][13][14] in range-angle domains. In ref.…”

Section: Introductionmentioning

confidence: 99%

Range‐angle beamforming with frequency diverse array radar using irregular superposed multicarrier approach for target indication

Tan

Dai

Wang

et al. 2021

Int J RF Microw Comput Aided Eng

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Due to the rapid progress of electronic countermeasures in the radar area, it is urgent to meet the demand of novel technologies that possess more possibilities for precise target indication without the influence of mainlobe jamming.Recently, frequency diverse array (FDA) steals the spotlight due to its property of range-angle-dependent beamforming. Besides, the multicarrier methods are also presented to generate range-dependent beampattern. In this paper, a novel multicarrier approach is proposed based on FDA radar, namely, irregular superposed multicarrier approach. Pencil-shaped range-angle beampattern can be generated. Moreover, in the equal amount of frequency components, our proposed scheme outperforms the existing multicarrier FDA systems considering four aspects of performance. Simulations and comparative results validate the superiority of the proposed scheme.

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FDA‐MIMO for joint angle and range estimation: unfolded coprime framework and parameter estimation algorithm

Cited by 18 publications

References 38 publications

Deceptive signal generating optimization based on frequency diverse array

Deceptive signal generating optimization based on frequency diverse array

Co-Pulsing FDA Radar

Range‐angle beamforming with frequency diverse array radar using irregular superposed multicarrier approach for target indication

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