瑞利噪声环境中水下目标辐射信号增强算法

A Novel Scheme for Enhancing Underwater Target-Radiated Sinusoids in Rayleigh Noise

提出了基于高阶累积量广义函数迭代的自适应滤波算法,证明了该算法的收敛性,给出了广义函数的几种具体表示式。用该算法对瑞利噪声环境中水下目标辐射信号谱增强进行了仿真研究。结果表明:该算法具有很强的抑制瑞利(白或色)噪声的能力。因此, 该算法在提高水下探测系统对水下目标的检测能力方面有重要的应用价值。

To improve the ability to detect the underwater target, it is necessary to enhance the underwater target-radiated sinusoids in colored non-gaussian or gaussian additive noise. In this paper, a higher order cumulant based generalized function iterative adaptive filtering (HOCBGFIAF) scheme is suggested to suppress additive colored noise, thus enhancing underwater target-radiated signal spectral peaks due to the sinusoids. In this scheme, the particular functions of the input signals (sinusoids plus colored additive noise) are defined as a type of generalized functions and the higher order cumulants are updated by these functions such as particular functional first monomial expression (PFFME), particular functional cubic monomial expression (PFCME), the sign of particular functional cubic monomial expression (sign-PFCME) and particular functional cubic polynomial expression (PFCPE). The convergence and computational load of the proposed algorithm are analyzed. The spectral enhancement has been simulated using the underwater target-radiated sinusoids plus colored Rayleigh noise. The results have shown that the proposed algorithm is capable of holding colored Rayleigh noise and outperforms leakage least mean square based adaptive line enhancer (LLMSBALE ) in the case of colored Rayleigh noise.