国产欧美精品一区二区,中文字幕专区在线亚洲,国产精品美女网站在线观看,艾秋果冻传媒2021精品,在线免费一区二区,久久久久久青草大香综合精品,日韩美aaa特级毛片,欧美成人精品午夜免费影视

Under the condition of colored noise or low speed, the noise eigenvalues will be diverted, which lead to no significant difference between the signal standard value obtained by the eigen-decomposition-based signal source number estimation method and the noise standard value. Therefore, a method of estimating the number of sources based on weighted eigenspace projection is proposed. First, in order to make the method suitable for low signal-to-noise ratio conditions, the covariance matrix of the data received by the array is denoised, and all eigenvalues and eigenvectors of the denoised covariance matrix are used to construct a noise weighted space matrix. The denoised covariance matrix is projected onto the weighted space matrix to increase the difference between the signal standard value and the noise standard value. Finally, the number of sources is estimated by combining the scalability of the power function to construct decisions. After theoretical analysis and experimental verification, this method is not only suitable for white noise and color noise conditions, but also has obvious advantages under low snapshot and low signal-to-noise ratio conditions, especially when there are more information sources.