The jamming jam method (JJM) uses the previous information of the interference to construct a matrix to cancel the interference. However, in the scenario that the signal is embedded in the interference, signal detection is a very difficult problem because the signal will be severely attenuated in interference cancellation. A jamming jam method based on covariance matrix is proposed to deal with this problem. The proposed method will get the Toeplitz averaged covariance matrix from the covariance matrix of the receiving signal, and then uses the Toeplitz averaged covariance matrix to frame the block matrix. The features of the covariance matrix are used to realize the jamming jam method. The proposed method weakens signal attenuation caused by interference suppression which is beneficial to detect the signal. Theoretical analysis and computer simulation show that compared to the JJM, the modified algorithm can effectively cancel interference and reduce signal attenuation.

array signal processing  /  interference cancellation  /  jamming jam method  /  covariance matrix