基于回波信号增长率的目标识别方法

针对连续波探测系统存在抗干扰能力弱、目标信号特征利用不充分的问题，提出了基于回波信号包络增长率和变化趋势的目标识别方法．该方法将典型目标信号包络划分为指数上升区、线性增长区和增长饱和区三个部分，并利用包络增长率和变化趋势两个特征来加以识别和区分．采用基于拉格朗日乘数法的滑动窗多项式拟合算法对实验测得的目标信号包络曲线做平滑处理，并通过差商法计算得到包络增长率和变化趋势．实例计算结果表明：提出的方法对指数上升区、线性增长区和增长饱和区的识别率分别达到88.2%、82.7%和91.3%．

A target recognition method based on increasing rate of echo signals

Aiming at the problem that the target detection system based on continuous-wave has a weakness in anti-jamming capability and does not make full use of target signal features, a method of target signal recognition based on envelope increasing rate of echo signals and its change tendency is proposed．The method divids a typical target signal envelope curve into three parts such as exponential rising part，linear increasing part and growth saturation part．The different parts of the curve are distinguished by the characteristics of envelope increasing rate and its change tendency． Sliding data window polynomial fitting algorithm based on Lagrange multiplier is used to smooth the target signal envelope curve sampled by experiments．The envelop increasing rate and its change tendency are calculated by difference quotient algorithm．Calculation results of examples show that the recognition rates of the method for exponential rising part，linear increasing part and growth saturation part are 88.2%,82.7% and 91.3% respectively.