高斯噪声与窄带干扰同时抑制技术

为了抑制接收信号中的高斯噪声和窄带干扰，在进一步分析边带相关置换（SCR）算法的基础上，提出了一种新的高斯噪声和窄带干扰抑制算法——循环边带相关置换（CSCR）算法. CSCR算法将SCR思想引入循环谱相关理论中，利用循环谱相关可有效抑制高斯噪声的技术优势，在接收信号的谱相关密度函数中用相对于窄带干扰的边带对称值代替干扰值来重构期望信号，从而实现了高斯噪声和窄带干扰的同时抑制. 该算法对谱相关密度谱对称的调制方式均适用. 通过对2PSK信号的计算机仿真表明，循环边带相关置换算法可以有效抑制高斯噪声和窄带干扰.

Suppression of Narrow-Band Interference and Gaussion Noise

For suppressing Gaussian noise and narrow band interference, a Gaussian noise and narrow band interference suppression algorithm called cyclic side correlation replacement (CSCR) is presented. CSCR is on the basis of the further analysis of side correlation replacement. CSCR algorithm is used for reference SCR in cyclic spectrum. Using cyclic spectrum could suppress Gaussion noise effectively, CSCR algorithm reconstructs the expectation signal by replacing the value of symmetric band with the interference signals. In addition, Gaussian noise is suppressed on the axis of nonzero cyclic frequency because of the non cyclostationary character, so Gaussian noise and narrow band interference are both suppressed at the same time. The algorithm is suitable for the modulation mode that has the symmetry of spectral correlation density. At last, through the computer simulation for phase shift keying (2PSK) signal, it shows that the cyclic side correlation replacement algorithm can effectively suppress Gaussian noise and narrow band interference.