A cognitive active anti-jamming method based on frequency diverse array radar phase center

Ge, Jiaang; Xie, Junwei; Bo, Wang

doi:10.1016/j.dsp.2020.102915

Cited by 21 publications

(13 citation statements)

References 41 publications

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“…Range-dependent mainbeam deceptive jamming cancellation can be achieved by using the increased range dimension controllable degrees of freedom (DOFs). Recently, the countermeasures of mainbeam deceptive jamming based on the novel FDA-MIMO radar system have attracted tremendous attention [6][7][8][9][10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

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Robust Beamforming Based on Covariance Matrix Reconstruction in FDA-MIMO Radar to Suppress Deceptive Jamming

Wan

Zhang

2022

Sensors

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Frequency diverse array (FDA)-multiple-input multiple-output (MIMO) radars can generate a range-angle two-dimensional transmit steering vector (SV), which is capable of suppressing mainbeam deceptive jamming in the transmit–receive frequency domain by utilizing additional degrees of freedom (DOFs) in the range dimension. However, when there are target SV mismatch, covariance matrix estimation error and target contamination, the jamming suppression performance degrades severely. In this paper, a robust adaptive beamforming algorithm for anti-jammer application based on covariance matrix reconstruction is proposed in FDA-MIMO radar. In this method, the residual noise is further determined by using the spatial power spectrum estimation approach, which results in improved estimation accuracy of the signal covariance matrix and the desired target SV. The jamming SV is obtained from vectors in the intersection of two subspaces (namely, the signal-jamming subspace derived from the sample covariance matrix (SCM) and the jamming subspace generated from the jamming covariance matrix) by an alternating projection algorithm. Furthermore, the jamming power is obtained by exploiting the orthogonality between the different SVs. With the obtained parameters of target and jamming, the optimal adaptive beamformer weight vector is calculated. Simulation results demonstrate that the proposed algorithm can cope with the mainbeam deceptive jamming suppression under various model mismatches and has excellent performance over a wide range of signal-to-noise ratios (SNRs).

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Section: Introductionmentioning

confidence: 99%

“…In [12], a preset-nulling broadening beamformer is proposed to address the jamming suppression problem when spatial frequency mismatch exists. For non-uniformly spaced FDA radars, a cognitive adaptive anti-jamming method based on phase center is suggested [13].…”

Section: Introductionmentioning

confidence: 99%

Robust Beamforming Based on Covariance Matrix Reconstruction in FDA-MIMO Radar to Suppress Deceptive Jamming

Wan

Zhang

2022

Sensors

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“…2) Deceptive signal generation. For the amplitude-based reconnaissance, Antonik analyzes the S-shaped beam of the FDA, and thus proposes conjecture of virtual radiation source which may realize location deception [37,38] analyzes the deception effect on the sum and difference beam reconnaissance; For the phasebased reconnaissance [39], proposes a cognitive active antijamming method based on the FDA phase center [40,41], study the deception effect of uniform linear FDA (ULFDA) on the interferometer, and [42] further analyzes the influence of the nonlinear frequency increment on the deception effect in the noise environment. However, both [40][41][42] only analyze the deception effect of the FDA, the direction of arrival (DOA) location deception optimization by regulating frequency increment is not investigated.…”

Section: Introductionmentioning

confidence: 99%

The Direction of Arrival Location Deception Model Counter Duel Baseline Phase Interferometer Based on Frequency Diverse Array

Xie

Chen

et al. 2021

Front. Phys.

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With the emergence and development of the passive localization, the radiation source is more visible for the location system which endangers their survival. Therefore, there is an urgent demand for the radio frequency (RF) stealth technology. An effective method to realize RF stealth is location deception, therefore, for the passive localization system, this paper proposes a direction of arrival (DOA) location deception method using the frequency diverse array (FDA) against the dual baseline phase interferometer. Since the direction-finding of the dual baseline phase interferometer is based on the received signal with fixed frequency, the FDA signal has a deception effect on the interferometer owing to the introduction of the small frequency increment. Considering the influence of the frequency increment sequence on the deception effect, we derive the optimizations of the DOA location deception via the average location deviation for the sampling time in the case of no noise and noise, respectively. Besides, considering the time dependency of the beam, we investigate the average SNR (ASNR) and the corresponding CRLB to verify the proposed method. Numerical examples and simulations show that the proposed method can counter the interferometer by realizing location deception.

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“…Moreover, in some scenarios, with the improvement of radar detection accuracy, it is not sufficient to perform detection using only the amplitude characteristics of the main lobe beam. It is necessary to realise accurate detection using the phase centre of the array antenna [43,44]. There have been relatively few studies on phase characteristics and the phase centre of array antennas, but some progress has been made.…”

Section: Introductionmentioning

confidence: 99%

Phase characteristics of frequency diverse array radar: Phase radiation pattern, phase period, and phase centre

Xie

Wang

2021

IET Radar Sonar & Navi

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Considering the signal model of the frequency diverse array (FDA), the amplitude and phase characteristics cannot be ignored. The beampattern mainly reflects the amplitude characteristics. Existing investigations show that the angle‐range dependence of the beampattern offers the FDA several benefits regarding detection and location. However, for the FDA, the phase characteristics that have not been studied are significant when considering the imaging and anti‐jamming. In this work, the authors investigate the phase characteristics of the FDA based on the proposed generalised FDA structure. Then, based on the structure, the authors derive the general closed form of the signal model, the phase‐radiation function, and the phase‐radiation pattern. Moreover, the periodicity of the phase radiation pattern is analysed using the recursive algorithm as compared with the rational analysis. Finally, using the three‐point method, the phase centre of the generalised FDA is derived. Furthermore, the proposed signal model and the derived phase characteristics of the FDA are verified by extensive numerical results.

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A cognitive active anti-jamming method based on frequency diverse array radar phase center

Cited by 21 publications

References 41 publications

Robust Beamforming Based on Covariance Matrix Reconstruction in FDA-MIMO Radar to Suppress Deceptive Jamming

Robust Beamforming Based on Covariance Matrix Reconstruction in FDA-MIMO Radar to Suppress Deceptive Jamming

The Direction of Arrival Location Deception Model Counter Duel Baseline Phase Interferometer Based on Frequency Diverse Array

Phase characteristics of frequency diverse array radar: Phase radiation pattern, phase period, and phase centre

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