摘要
针对宽带无源定位系统中运算复杂度与估计精度之间的矛盾,提出一种频域尺度相关粗测与非线性最小二乘精测相结合的时差频差联合估计算法。该算法采用经过频域重采样改进的频域相关算法,可以在极低运算量的情况下获得时差频差的估计初值,进一步采用平均方差函数替代宽带互模糊函数,从而通过非线性最小二乘算法迭代获得时差频差的精确值。仿真结果验证了提出的算法具有估计精度高、运算复杂度低的特点。
To solve the contradiction between computation complexity and estimation accuracy in wideband passive location systems,an algorithm based on frequency scaled correlation and nonlinear least square is proposed. In this method,the initial value of TDOA / SDOA can be obtained at low computation cost,as the frequency correlation improved by frequency resampling is adopted.Then the average square difference function is used to replace the wideband cross ambiguity function to get the accurate value of TDOA /SDOA through nonlinear least square. The high estimation precision and low computation complexity of the algorithm are validated by simulation results.
出处
《无线电工程》
2016年第11期34-37,共4页
Radio Engineering
基金
河北省自然科学基金资助项目(F2014210123)
关键词
宽带无源定位
宽带互模糊函数
频域尺度相关
非线性最小二乘
wideband passive location
wideband cross ambiguity function
frequency scaled correlation
nonlinear least square
