Continuous Wave Signal Detection Based on Weight Vector under Colored Gaussian Noise

DAI Zhen; WU Jiwei; YIN Meifang

doi:10.11993/j.issn.2096-3920.2022-0067

Volume 31 Issue 5

Oct 2023

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DAI Zhen, WU Jiwei, YIN Meifang. Continuous Wave Signal Detection Based on Weight Vector under Colored Gaussian Noise[J]. Journal of Unmanned Undersea Systems, 2023, 31(5): 746-749. doi: 10.11993/j.issn.2096-3920.2022-0067

Citation:

DAI Zhen, WU Jiwei, YIN Meifang. Continuous Wave Signal Detection Based on Weight Vector under Colored Gaussian Noise[J]. Journal of Unmanned Undersea Systems, 2023, 31(5): 746-749. doi: 10.11993/j.issn.2096-3920.2022-0067

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Continuous Wave Signal Detection Based on Weight Vector under Colored Gaussian Noise

doi: 10.11993/j.issn.2096-3920.2022-0067

Naval Petty Officer Academy, Bengbu 233000, China

Received Date: 2022-10-23
Rev Recd Date: 2022-12-25

Available Online: 2023-09-01

Abstract

Abstract

Signal detection under colored Gaussian noise needs pre-white processing. In view of this, a signal detection method based on a weight vector was proposed. Firstly, the test statistics were constructed based on the weight vector, and its detection performance was analyzed. On this basis, the optimal weight vector under the N-P criterion was derived, and its equivalence with the generalized matched filter was proved. By constructing a suitable weight vector, it was proved that there was no need for prewhitening when continuous wave signals were detected in big data records, which significantly improved the detection efficiency. The simulation results verify the effectiveness of the detection method.
- colored Gaussian noise,
- weight vector,
- signal detection,
- continuous wave signal,
- prewhitening

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References(10)

References

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