针对混沌背景弱信号检测问题,提出了一种基于Volterra滤波器的混沌背景弱信号检测算法。在Volterra滤波系数计算过程中,采用了解线性方程组算法代替原有的自适应算法,提高了混沌预测精度以及混沌背景中弱信号检测性能。仿真结果表明,本文所提出的算法在信混比达到-70dB时,仍能检测混沌背景中微弱信号。 Aiming at the weak signal detection problem of chaotic background, a weak signal detection algorithm based on Volterra filter is proposed. In the Volterra filter coefficient calculation, the linear equations algorithm is used to replace the original adaptive algorithm, which improves the prediction accuracy of chaos and the detection performance of weak signals in chaotic background. Simulation results show that the proposed algorithm can still detect faint signals in the chaotic background when the S / N ratio reaches -70dB.