摘要
针对多跳频脉冲测向提出一种基于时频域矩阵分解的高效算法.采用计算高效的SPW分布计算参考阵元与其他阵元的互时频分布构造时频域阵列模型,选择各个跳频脉冲在时频平面上能量聚集区内的时频点构造空间时频分布矩阵,对矩阵进行奇异值分解,然后运用ESPRIT思想估计方向.该方法在矩阵构造和时频分布计算两方面都具有较低的运算量,并且能够处理相干信号.仿真结果验证了算法的有效性.
Based on time-frequency matrix decomposition,an effective direction finding method was proposed for multi-frequency hopping pulses.A time-frequency array model was constructed by effective cross-SPW Distribution of the reference and other sensors' output.Accordingly,the spatial time-frequency distribution(STFD) matrixes are formed by time-frequency points residing on their own power concentration regions of the frequency-hopping pulses.The directions were estimated by ESPRIT after singular value decomposition of the STFD matrix.The proposed method can deal with coherent signals and has low complexity in both matrix construction and time-frequency distribution computation.The simulation results show the efficiency of the method.
出处
《哈尔滨工程大学学报》
EI
CAS
CSCD
北大核心
2011年第5期662-666,共5页
Journal of Harbin Engineering University
基金
武器装备预研基金资助项目(9140A06050809KG0120)
关键词
阵列信号处理
测向
空间时频分布
跳频
array signal processing
direction finding
spatial time-frequency distribution
frequency hopping