单载频脉冲雷达目标识别信息自动获取方法

Automatic Acquisition Method of Target Recognition Information for Single Pulse Radar

摘要:

在航天测控领域火箭外弹道跟踪测量过程中,传统单载频脉冲雷达不具备自动识别目标信号的能力,此类雷达完成目标捕获跟踪完全依靠人工操作。为给传统单脉冲雷达实现自动跟踪目标提供技术支撑,解决目标信号识别信息自动获取关键技术难点,提出了一种基于单脉冲雷达A显数字信号分析的解决方案。采用一维卷积运算方法对雷达A显数据进行信号提取,并利用卡尔曼滤波算法对提取的信号进行持续跟踪,同时可获取到信号的距离、幅度、带宽和速度特征信息,基于所获取的4类信息,自动完成对常见目标和干扰信号的区分。经测试表明，相比人工识别判断方式，采用该方法能够更为准确获取A显数据中的信号特征信息，对信号的距离预测标准差在57.1m内，信号速度的预测标准差在102.2m/s内，可作为雷达实现目标自动跟踪的判决信息源。

Abstract:

In the field of aerospace measurement and control, traditional single carrier pulse radar does not have the ability to automatically identify target signals during rocket trajectory tracking and measurement. This type of radar relies entirely on manual operation to complete target capture and tracking. In order to provide technical support for traditional single pulse radar to achieve automatic target tracking and solve the key technical difficulties in automatic acquisition of target signal recognition information, the solution based on single pulse radar A-display digital signal analysis has been proposed. The one-dimensional convolution operation method is used to extract signals from radar A display data, and the kalman filter algorithm is used to track the extracted signals. The distance, amplitude, bandwidth, and velocity characteristics of the signals are obtained automatically and used to distinguish automatically between common targets and interference signals. Testing has shown that, compared to manual identification and judgment methods, this approach can more accurately capture the signal feature information in A-scan data. The standard deviation of distance prediction for signals is within 57.1m, and the standard deviation of signal speed prediction is within 102.2m/s. It can serve as a decision information source for radar to achieve automatic target tracking.