【摘要】 现代雷达普遍采用频率捷变方式,传统的信号分选算法往往会造成增批问题。对接收到的信号进行高精度频率估计,利用相邻2个信号频率差相除,在一定的搜索范围内,通过比较相除结果的小数部分,来分选出不同雷达信号。根据分选出的来自同一部雷达信号,用相同方法可估计出信号的分频系数,从而估计出雷达的基准频率。仿真结果表明:该算法可有效地分选捷变频雷达信号,抑制增批问题的产生,可对特定辐射源进行准确识别。更多还原

【Abstract】 Frequency agility mode is widely used in modern radar. Traditional algorithms often result in the increasing batch in signal sorting. This algorithm estimates the frequency of received signals with high precision firstly. The results can be got by dividing the frequency differences of two adjacent signals. Within a certain range,the signals from different radars are sorted by comparing the fractional part of the results. According to the signals from the same radar,frequency dividing coefficients are estimated by the same way. Finally,reference frequency can be gained. Simulation results show that this algorithm can sort the signals from frequency agility radar effectively. And,it can restrain the increasing batch in the signal sorting and recognize the specific emitters accurately.更多还原