Method to Improve Performance of Estimation of DOA Using Toeplitz Characteristic
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摘要: 提出一种利用协方差矩阵的Toeplitz特性,使估计的协方差矩阵成为Toeplitz矩阵的方法,在低信噪比短数据流情况下,改善来波方向(DOA)估计的性能,且不需增加乘法运算量.对MUSIC算法和PRO-ESPRIT算法进行了分析并作了计算机仿真,仿真结果表明:利用Toeplitz特性后,MUSIC算法谱峰幅度增大,波谷相对波峰的深度增加,这将有利于目标的分辨;并可减小低信噪比情况下MUSIC算法和PRO-ESPRIT算法DOA估计的方差.
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关键词:
- 测向 /
- 参数估计 /
- 信息处理 /
- Toeplitz矩阵
Abstract: A method is proposed to make the estimation of the covariance become Toeplitz matrix using the Toeplitz characteristic of covariance matrix . It can improve the performance of estimation of DOA in the low SNR and shot snapshot , and dose not add complex multiplication. It is used in the MUSIC algorithm and the PRO-ESPRIT algorithm . The numerical simulation results show that the spatial spectrum and the depth between wave crest and trough are increased in the MUSIC algorithm , and the standard deviations of the estimation of DOA are decreased in the MUSIC algorithm and the PRO-ESPRIT algorithm in the low SNR .The method can be used in other DOA estimation algorithm .-
Key words:
- orientation /
- parameter estimations /
- information processing /
- Toeplitz matrix
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