摘要: |
在低信噪比且不增加接收阵元数目的条件下,提出利用提升小波算子对接收
信号进行预处理,然后用MUSIC法进行谱估计。仿真试验表明该算法有效提高了DOA估计的
分辨率和精度,与传统的基于一代小波域的DOA估计的算法对比,该算法具有复杂度低、收
敛快且精度高的性能,为实时信号的处理提供了支持,在科研和工程实践领域具有一定的
理论价值和应用价值。 |
关键词: 阵列信号处理 DOA估计 提升小波 MUSIC算法 |
DOI: |
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基金项目: |
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DOA Estimation with MUSIC Algorithm Based on Lifting Wavelet Operator |
LU Xin-wen |
(Jiangsu Provincial Electronic Products Equipment Manufacture R&D Center,Huai′an 223003,China) |
Abstract: |
Under low SNR and without increasing the number of array elements, this
paper proposes an algorithm which uses the lifting wavelet operator
to preprocess the received signal, then performs spectral estimation with MUSIC
algorithm. The simulation results show that the algorithm can improve the DOA e
stimation resolution and accuracy, meanwhile, comparing with the traditional fir
st generation wavelet on the DOA estimation, it has some advantages on low compl
exity, fast convergence and high accuracy. The algorithm provides very strong su
pport for real-time signal processing, and has theoretical and practica
l values in the field of research and engineering practice. |
Key words: array signal processing DOA estimation lifting wavelet MUSIC algorithm |