A DOA estimation method for mixed coherent and incoherent signals under colored noise

Wang Chuanchuan; Han Hui; Wang Manxi; Wang Jianlu

doi:10.11884/HPLPB202638.250250

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Article Navigation > High Power Laser and Particle Beams > 2026 > Accepted Manuscript

Wang Chuanchuan, Han Hui, Wang Manxi, et al. A DOA estimation method for mixed coherent and incoherent signals under colored noise[J]. High Power Laser and Particle Beams. doi: 10.11884/HPLPB202638.250250

Citation:

Wang Chuanchuan, Han Hui, Wang Manxi, et al. A DOA estimation method for mixed coherent and incoherent signals under colored noise[J]. High Power Laser and Particle Beams. doi: 10.11884/HPLPB202638.250250

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A DOA estimation method for mixed coherent and incoherent signals under colored noise

doi: 10.11884/HPLPB202638.250250

Unit 63892 of the Chinese People’s Liberation Army, Luoyang 471003, China

Received Date: 2025-08-05
Accepted Date: 2025-11-25
Rev Recd Date: 2025-12-08

Available Online: 2026-01-05

Abstract

Abstract

Backgrounds
In complex electromagnetic environments, due to the multipath propagation of signals and the impact of co-channel interference, direction-finding systems will receive coherent signals. The mutual coupling between antenna elements or the inconsistency of gains will cause the superimposed noise of each channel to become spatial colored noise. Due to the low signal-to-noise ratio (SNR) of signals or short transmission time, it is difficult to obtain sufficient high-quality signal samples. When using array direction finding systems for DOA estimation, it is difficult to achieve DOA estimation under conditions of small samples, overlapping colored noise, and coherent incident signals.
Purpose
This study aims how to solve the array direction-finding problems caused by radiation source coherence, aliased colored noise and small samples, which has become a research hotspot and difficulty in array signal processing area.
Methods
From the requirement of DOA estimation of narrowband signals, A DOA estimation method is proposed for small samples, overlapping colored noise, and coherent incident signals by using covariance matrix shrinkage estimation to improve the covariance estimation effect under small sample conditions, then using the covariance difference method to process the shrunk covariance matrix to suppress colored noise and signal coherence, and finally applying the MUSIC algorithm for DOA estimation.
Results
Simulation experiments verify the effectiveness of the proposed method, providing an effective solution for solving DOA estimation problems in complex environments.
Conclusions
The proposed method offers an effective approach to array direction-finding under complex environments.
- Colored noise,
- Coherence of signals,
- Covariance matrix shrinkage,
- Covariance difference,
- DOA estimation

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References(32)

References

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