Clutter suppression methods based on reduced-dimension transformation for airborne passive radar with impure reference signals

2021 ◽  
Vol 15 (01) ◽  
Author(s):  
Yaqi Deng ◽  
Saiwen Zhang ◽  
Qiuxiang Zhu ◽  
Lincheng Zhang ◽  
Wenguo Li
Sensors ◽  
2021 ◽  
Vol 21 (19) ◽  
pp. 6339
Author(s):  
Yaqi Deng ◽  
Wenguo Li ◽  
Saiwen Zhang ◽  
Fulong Wang ◽  
Weichu Xiao ◽  
...  

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.


2019 ◽  
Vol 19 (14) ◽  
pp. 5572-5586 ◽  
Author(s):  
Yuqi Liu ◽  
Jianxin Yi ◽  
Xianrong Wan ◽  
Xun Zhang ◽  
Hengyu Ke

2020 ◽  
pp. 1-1
Author(s):  
Yuqi Liu ◽  
Jianxin Yi ◽  
Xianrong Wan ◽  
Xun Zhang ◽  
Hengyu Ke

Sensors ◽  
2021 ◽  
Vol 22 (1) ◽  
pp. 117
Author(s):  
Haitao Wang ◽  
Xiaoyong Lyu ◽  
Kefei Liao

Passive radars based on long-term evolution (LTE) signals suffer from sever interferences. The interferences are not only from the base station used as the illuminator of opportunity (BS-IoO), but also from the other co-channel base stations (CCBS) working at the same frequency with the BS-IoO. Because the reference signals of the co-channel interferences are difficult to obtain, cancellation performance degrades seriously when traditional interference suppression methods are applied in LTE-based passive radar. This paper proposes a cascaded cancellation method based on the spatial spectrum cognition of interference. It consists of several cancellation loops. In each loop, the spatial spectrum of strong interferences is first recognized by using the cyclostationary characteristic of LTE signal and the compressed sensing technique. A clean reference signal of each interference is then reconstructed according to the spatial spectrum previously obtained. With the reference signal, the interferences are cancelled. At the end of each loop, the energy of the interference residual is estimated. If the interference residual is still strong, then the cancellation loop continues; otherwise it terminates. The proposed method can get good cancellation performance with a small-sized antenna array. Theoretical and simulation results demonstrate the effectiveness of the proposed method.


2015 ◽  
Vol 743 ◽  
pp. 395-398
Author(s):  
S.D. Zhao ◽  
Kun Yan ◽  
T.Z. Zhou

The theory of full dimension and reduced dimension STAP was introduced. Based on the physical mechanism of reverberation formation, the suppression of moving sonar reverberation and the possibility of improvement of detection performance were analyzed and discussed, and the solutions of several key steps were given. The analysis shows that reverberation suppression using STAP is more difficult than clutter suppression of AEW, but its implementation is possible. The results of simulation show that the STAP method can achieve better detection performance than conventional method. The STAP method can utilize the space-time characteristic of moving sonar reverberation sufficiently, and so is a promising new method of reverberation suppression.


Sensors ◽  
2020 ◽  
Vol 21 (1) ◽  
pp. 69
Author(s):  
Philipp Wojaczek ◽  
Diego Cristallini ◽  
Daniel W. O’Hagan ◽  
Fabiola Colone ◽  
Giovanni Paolo Blasone ◽  
...  

Research in passive radar has moved its focus towards passive radar on moving platforms in recent years with the purpose of moving target indication and ground imaging via synthetic aperture radar. This is also fostered by the progress in hardware miniaturization, which alleviates the installation of the required hardware on moving platforms. Terrestrial transmitters, commonly known as illuminators of opportunity in the passive radar community, usually emit the signals in the Very High Frequency (VHF) or Ultra High Frequency (UHF) band. Due to the long wavelengths of the VHF/UHF band, there are constraints on the size of the used antenna elements, and therefore, the number of antenna elements to be employed is limited, especially as the platform carrying the passive radar system is intended to be small, potentially even an unmanned aerial vehicle. In order to detect moving targets hidden by Doppler shifted clutter returns, one common approach is to suppress the clutter returns by applying clutter suppression techniques that rely on spatial and temporal degrees of freedom, such as Displaced Phase Center Antenna (DPCA) or Space-Time Adaptive Processing. It has been shown that the DPCA approach is a meaningful technique to suppress the clutter if two antenna elements are employed. However, if the employed receiving channels are not carefully calibrated, the clutter suppression is shown to be not effective. Here, we suggest a three-stage calibration technique in order to perform the calibration of two receiving channels, which involves the exploitation of the direct signal, a data-adaptive amplitude calibration, and finally, a data-adaptive calibration of phase mismatches between both receiving channels by the estimation of the Minimum Variance Power Spectrum of the clutter. The validity of the proposed approach is shown with simulated data and demonstrated on real data from a fast ground moving platform, showing improved clutter cancellation capabilities.


Frequenz ◽  
2017 ◽  
Vol 71 (11-12) ◽  
Author(s):  
Hanwei Liu ◽  
Yongshun Zhang ◽  
Yiduo Guo ◽  
Qiang Wang

AbstractTo effectively suppress clutter and blocking interference for MIMO radar, a two-stage STAP method based on sparse reconstruction is proposed. As interference is sparse in spatial domain, the subspace of it is estimated with only one snapshot by using Orthogonal Matching Pursuit (OMP) algorithm, and the array data is projected onto the complementary subspace of interference. In the sequel, matched-filtering is applied to the output data followed by clutter suppression with temporal and spatial freedom. The clutter suppression is utilized directly to reduced-dimension STAP (RD-STAP) algorithms. Simulation results demonstrate that the proposed method outperforms traditional methods and reduces sample requirement.


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