在雷达信号检测环节, 针对长周期信号进行整段脉压检测会出现耗时较长和占用资源较多的问题, 采用一种通过分段匹配实现局部脉压检测的算法。首先将接收到的回波信号按一定规则分段, 逐段匹配滤波并在各自段内进行滑窗检测, 筛选数据后将初次判决后的结果保存。经过多个脉冲周期以后, 将保存的数据进行对齐排列, 精细化处理后实现二次判决, 最终确定目标结果。仿真及测试结果表明, 与传统的先压缩再积累检测的方法相比, 该方式可以有效滤除处理环节中出现的大量无用信息, 节省资源, 易于实现。

In the process of radar signal detection, the entire-section pulse compression detection of the long-period signal will be time-consuming and take up too many resources. A segment matching algorithm is used to achieve local pulse compression detection. First, the received echo signal is segmented according to certain rules, and the sliding window detection is carried out in each segment after filtering the data segment by segment, and then the result of the first judgment is saved after data screening. After a number of pulse cycles, the preserved data is aligned in rows. The second judgment is obtained after fine processing, and the target results are ultimately determined. Simulation and test results show that, compared with the traditional method of first compression and then accumulation detection, this method can effectively filter out lots of useless information in processing and save resources, and it is easy to implement.