摘要
针对MUSIC算法在低信噪比(SNR)和信号到来角(DOA)间隔较近时估计性能下降的问题,提出了一种信号参数估计的小波去噪方法,并从伪二维图像去噪的角度对阵列去噪的性能进行了验证。仿真结果表明,对去噪后的信号接收矩阵应用MUSIC算法,不仅可以提高DOA估计的SNR,而且可以提高DOA间隔较近时的算法分辨率。
A novel wavelet denoising method for signal parameter estimation is suggested to harness the performance degradation of MUSIC algorithm in scenarios of low SNR and close spaced DOA. The merits of array denoising are given by plotting the array in the form of pseudo-2D figure's denoising. Simulations show that by applying MUSIC method to the denoised received matrix, not only the SNR of DOA estimation is improved, but also the resolution of MUSIC is enhanced for close spaced DOA.
出处
《仪器仪表学报》
EI
CAS
CSCD
北大核心
2005年第z2期468-470,共3页
Chinese Journal of Scientific Instrument
基金
河北省教育厅科学研究指导计划(Z2004103)资助项目。
