Cascaded Suppression Method for Airborne Passive Radar With Contaminated Reference Signal

Deng, Yaqi; Wang, Jun; Luo, Zhen; Guo, Sheng

doi:10.1109/access.2019.2911136

Cited by 7 publications

(37 citation statements)

References 25 publications

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“…Аt this processing stage all signal components that are outside of the known values are lost (maximum allowable deviation of frequency, amplitude, phase). In most modern radar systems analog-to-digital conversion is performed after the detector [10][11][12][13][14][15][16][17][18][19][20][21][22].…”

Section: Results Of Structural and Schematic Solutions For The Applicmentioning

confidence: 99%

Evaluation of phase-frequency instability when processing complex radar signals

Boiko

Karpova

Eromenko

et al. 2020

IJECE

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A new radar system for digital signal processing before detection is proposed. These are the guidelines for selecting an intermediate frequency for signal processing. The features of signal processing in the case of echo-signal selection by the features of the correlation properties of their complex bypass are described. This paper presents the study of ambiguity function (AF) when processing complex radar signals. In this work, the AF synthesis was performed considering non-determined components and the presence of phase-frequency instability. The received result enhances the potentials for distinguishing an incoherent radar signal. The numerical simulation results of received AF are presented. Considering fluctuation components in the complex AF, depending on the laws of the distribution of amplitude and frequency fluctuations and their parameters, allowed to get the gain in the width of the main lobe from the units to tens of times. Paper represents original analytical expressions for AF of radio-signals modulated by narrow band random processes with various distribution laws.

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Section: Results Of Structural and Schematic Solutions For The Applicmentioning

confidence: 99%

Evaluation of phase-frequency instability when processing complex radar signals

Boiko

Karpova

Eromenko

et al. 2020

IJECE

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“…The cascaded method (CM), which performs the MP clutter suppression before STAP cancels DP clutter, can provide an alternative method for target detection in airborne passive radars with contaminated reference signals. Several MP clutter suppression methods have been developed [ 23 , 24 , 25 ]. In the modified blind equalization method, by exploiting the prior knowledge of the Doppler frequency of the DP signal, MP signals are restrained, and the reference channel is equalized [ 23 ].…”

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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“…Thus, the traditional multipath suppression algorithms mentioned above are not applicable in the airborne PBR system. Aiming at the special case of contaminated reference signal in the airborne PBR, the expanded clutter suppression algorithm based on sparse representation is proposed in [24]. The algorithm constructs the cost function with a sparse constraint, and the relation of spatial-temporal clutters which are matched with the direct-path signal and the multipath signal is derived.…”

Section: Introductionmentioning

confidence: 99%

“…However, the false target caused by the multipath signal can be detected in the range dimension inevitably. The algorithm in [24] ignores the issue of false target.…”

Section: Introductionmentioning

confidence: 99%

Modified Blind Equalization Algorithm Based on Cyclostationarity for Contaminated Reference Signal in Airborne PBR

Guo

Wang

et al. 2020

Sensors

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In airborne passive bistatic radar (PBR), the reference channel toward the opportunity illuminator is applied to receive the direct-path signal as the reference signal. In the actual scenario, the reference signal is contaminated by the multipath signals easily. Unlike the multipath signal in traditional ground PBR system, the multipath signal in the airborne PBR owns not only the time delay but also the Doppler frequency. The contaminated reference signal can cause the spatial-temporal clutter spectrum to expand and the false targets to appear. The performance of target detection is impacted severely. However, the existing blind equalization algorithm is unavailable for the contaminated reference signal in airborne PBR. In this paper, the modified blind equalization algorithm is proposed to suppress the needless multipath signal and restore the pure reference signal. Aiming at the Doppler frequency of multipath signal, the high-order moment information and the cyclostationarity of source signal are exploited to construct the new cost function for the phase constraint, and the complex value back propagation (BP) neural network is exploited to solve the constraint optimization problem for the better convergence. In final, the simulation experiments are conducted to prove the feasibility and superiority of proposed algorithm.

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Cascaded Suppression Method for Airborne Passive Radar With Contaminated Reference Signal

Cited by 7 publications

References 25 publications

Evaluation of phase-frequency instability when processing complex radar signals

Evaluation of phase-frequency instability when processing complex radar signals

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

Modified Blind Equalization Algorithm Based on Cyclostationarity for Contaminated Reference Signal in Airborne PBR

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