Effect of Colored Noise on STAP Algorithm for GNSS Anti-jamming and Algorithm Improvement

ZHAO Chenqian; LIU Yichen; LIU Xin

doi:10.11999/JEIT210174

Volume 44 Issue 4

Apr. 2022

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Article Navigation > Journal of Electronics & Information Technology > 2022 > 44(4): 1388-1394

ZHAO Chenqian, LIU Yichen, LIU Xin. Effect of Colored Noise on STAP Algorithm for GNSS Anti-jamming and Algorithm Improvement[J]. Journal of Electronics & Information Technology, 2022, 44(4): 1388-1394. doi: 10.11999/JEIT210174

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ZHAO Chenqian, LIU Yichen, LIU Xin. Effect of Colored Noise on STAP Algorithm for GNSS Anti-jamming and Algorithm Improvement[J]. Journal of Electronics & Information Technology, 2022, 44(4): 1388-1394. doi: 10.11999/JEIT210174

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Effect of Colored Noise on STAP Algorithm for GNSS Anti-jamming and Algorithm Improvement

doi: 10.11999/JEIT210174

System Engineering Research Institute, CSSC, Beijing 100094, China

Received Date: 2021-02-25
Accepted Date: 2021-08-27
Rev Recd Date: 2021-08-27

Available Online: 2021-12-19

Publish Date: 2022-04-18

Abstract

Abstract

In adaptive array processing for Global Navigation Satellite System (GNSS) anti-jamming, system noise is usually modeled as AWGN(Additive White Gauss Noise). But in engineering, system noise is generally non-white and colored noise has a great impact on the performance of STAP (Space-Time Adaptive Processing) algorithm. Firstly, the theoretical relationship between the power spectrum of noise and the correlation peak of GNSS signal after space-time anti-jamming is derived, then the theoretical relationship is verified by simulation experiment which simultaneously analyzes the effect of equivalent bandwidth and spectrum peak shift of noise on GNSS signal’s correlation peak. Experimental results show the more the noise power spectrum energy is concentrated at the peak of the power spectrum of GNSS signal, the lower the correlation peak of the GNSS signal after space-time anti-jamming. For the above problem, diagonal loading and subspace projection methods are proposed in this paper, and the two methods achieve the whitening of colored noise by consistent processing of the eigenvalues of the noise covariance matrix, so that the effect of colored noise is eliminated. Finally, method is verified by experiments.
- GNSS,
- Space-Time Adaptive Processing (STAP),
- Colored noise,
- Effect analysis,
- Algorithm improvement

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References(15)

References

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