混合高斯-指数噪声中水中目标信号的最佳检测

提出一种最佳检测器结构,应用于水中非高斯噪声背景下目标信号的检测。根据海洋环境噪声及水中目标辐射噪声信号特点,建立了海洋环境噪声模型,并研究了该模型下水中目标信号的最佳检测,通过仿真噪声数据以及实测海洋环境数据验证了检测性能。结果表明:文中设计的最佳检测器的性能优于传统的能量检测器,且检测性能的改善随着非高斯性的增强而更加明显。

On Optimal Detection of Signals in Gaussian-Exponential Mixture Noise

Traditional signal detectors for underwater targets are based on Gaussian model.Such a model,according to recent research,does not agree with actual ocean ambient noise,and the optimal detector based on this model risks unexpectedly poor performance.We present a Gaussian-Exponential mixture model to describe the received noise by analysis of underwater noise samples for deriving an optimal signal detector.We first rebuild the ocean ambient noise model as a Gaussian-Exponential mixture model.Next,we derive an optimal nonlinear detector structure for known signals in such noise.Finally,in order to evaluate the performance of the optimal detector,it is compared to the conventional energy detector.The comparison is based on the concept of asymptotic relative efficiency(ARE) for comparing hypothesis testing procedures.The simulation results show that the performance of the proposed detector is better than that of the conventional energy detector by 4~8 dB.