Adaptive Clutter Nulling Approach for Heterogeneous Environments

Chen, Sijia; Kong, Lingjiang; Yang, Jianyu

doi:10.1007/s00034-014-9874-6

Cited by 4 publications

(2 citation statements)

References 22 publications

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“…Many suboptimal STAP algorithms have been proposed to address these issues. Reduced-dimension STAP [ 9 , 10 , 11 ] and reduced-rank STAP [ 12 , 13 ] can reduce the number of required snapshots to twice of the reduced dimension or twice of the clutter rank. The training data selectors [ 14 ] can improve the target detection ability in heterogeneous environments with dense outliers.…”

Section: Introductionmentioning

confidence: 99%

Clutter Suppression Method for Off-Grid Effects Mitigation in Airborne Passive Radars with Contaminated Reference Signals

Deng

Zhang

et al. 2021

Sensors

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For an airborne passive radar with contaminated reference signals, the clutter caused by multipath (MP) signals involved in the reference channel (MP clutter) corrupts the covariance estimation in space-time adaptive processing (STAP). In order to overcome the severe STAP performance degradation caused by impure reference signals and off-grid effects, a novel MP clutter suppression method based on local search is proposed for airborne passive radar. In the proposed method, the global dictionary is constructed based on the sparse measurement model of MP clutter, and the global atoms that are most relevant to the residual are selected. Then, the local dictionary is designed iteratively, and local searches are performed to match real MP clutter points. Finally, the off-grid effects are mitigated, and the MP clutter is suppressed from all matched atoms. A range of simulations is conducted in order to demonstrate the effectiveness of the proposed method.

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Section: Introductionmentioning

confidence: 99%

Clutter Suppression Method for Off-Grid Effects Mitigation in Airborne Passive Radars with Contaminated Reference Signals

Deng

Zhang

et al. 2021

Sensors

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“…It has been long known that increasing the number of degrees of freedom (DOF) enables excellent detection performance, but since the computational complexity and the number of samples for estimation CCM are limited, it is difficult to be implemented in practical work [3]. In recent years, a large amount of productive works have been studied aiming at STAP with few DOF and secondary data and provide a better detection performance in heterogeneous clutter and strong jammer environment, including the knowledge-aided radar, the multiple-input multiple-output radar, and the jamming suppression in complex environment [4][5][6]. The foremost theory of STAP is to adjust the space-time filter weights to maximize output signal-to-interferenceplus-noise ratio (SINR) adaptively with DOF as less as possible.…”

Section: Introductionmentioning

confidence: 99%

Reduced-dimension space-time adaptive processing based on angle-Doppler correlation coefficient

Zhang

et al. 2016

EURASIP J. Adv. Signal Process.

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Traditional space-time adaptive processing (STAP) is a strategy for clutter suppression in airborne radar, which requires a large number of computational complexity and secondary data. In order to address the problem, reduced-dimension (RD) STAP is generally used. We propose a novel RD STAP through searching the best channels as the auxiliary channels to cancel the interference. Based on the estimation of the clutter Fourier basis vectors offline, a parameter named angle-Doppler correlation coefficient (ADC 2 ) is constructed to evaluate the capability of each auxiliary channel in clutter suppression, and the best sets of RD channels can be selected. The proposed algorithm can achieve the best detection performance with the fixed number of auxiliary channel. When the degrees of freedom (DOF) are restricted to a small value, only one auxiliary channel is needed to guarantee the SINR loss less than 3 dB. Therefore, the requirement of the training sample can be reduced, which makes the proposed approach more suitable for the heterogeneous clutter environments.

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Radio Frequency Interference Suppression Algorithm Based on SOCP in OTHR

Chen

Lin

et al. 2016

Circuits Syst Signal Process

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Adaptive Clutter Nulling Approach for Heterogeneous Environments

Cited by 4 publications

References 22 publications

Clutter Suppression Method for Off-Grid Effects Mitigation in Airborne Passive Radars with Contaminated Reference Signals

Clutter Suppression Method for Off-Grid Effects Mitigation in Airborne Passive Radars with Contaminated Reference Signals

Reduced-dimension space-time adaptive processing based on angle-Doppler correlation coefficient

Radio Frequency Interference Suppression Algorithm Based on SOCP in OTHR

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