基于复模糊函数的到达时差和到达频差无源定位方法研究较多,但实际工程应用往往受到估计精度和计算量的矛盾制约。通过研究复模糊函数的特性,并结合硬件代价受限的实际应用需求,对抽取因子、搜索步长等相关参数进行非线性最优化,提出了到达时差和到达频差的搜索优化算法。经过仿真验证,所提出的算法在不降低精度的条件下大大降低了运算量,缩短了运算时间。
Much theoretical research has been conducted on passive location of emitter with both time difference of arrival(TDOA) and frequency difference of arrival(FDOA),being estimated by complex ambi-guity functions(CAF).However,in practice,tradeoff between estimation accuracy and computation overhead likely becomes a bottleneck.Considering characteristics of CAF and practical limitations of hardware,a search method for TDOA/FDOA is proposed,of which the related parameters,such as decimation and search step size,are nonlinearly optimized.Simulation results show that this method may significantly reduce the computa-tional overhead and consuming time without losing estimation accuracy.