利用自适应子波变换提高对微弱运动目标的检测性能

本文研究了长时间相参积累时微弱运动目标回波信号的特点，分析了常规检测方法的局限性，针对多项式相位信号模型，结合复正交线性相位子波基函数的设计，提出了一种基于自适应子波变换局域线性逼近的微弱运动目标检测方法，该方法具有自适应频带划分，快速算法实现，计算量低，并对统计分布的杂散分量具有自动抑制的特点，理论分析和计算机仿真结果验证了该方法的有效性。

An Improved Coherent Integration Detector with Adaptive Wavelet Transform

This paper proposes a novel long-term coherent intoption method for detection of weak high order polynomial phase signal (PPS), such as weak echo signals from maneuvering targets in radar and sonar applications. The method exploits the time-frequency tiling property of adaptive wavelet transform (AWT),and is practically realzable. In this paper, theunitary and linear phase wavelet basis function together with one order local linear approaching procedure are paesented to estimate the signal trace in time-frequency plane. Additionally, the Redon-Wigner transform (RWT) is exploited in subbandoutputs of AWT to achieve low computational complexity implementation. Analysis and simulation results confirm the efficacyof the method.