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出 处:《系统工程与电子技术》2006年第7期965-968,共4页Systems Engineering and Electronics
基 金:广东省自然科学基金资助课题(04010516)
摘 要:从最小二乘原理出发,结合参量模型时延估计方法,提出了一种使得时延引起的输入信号与参考信号之间实现最小二乘的自适应FIR高精度时延估计方法。与广义互相关法、相位谱法和自适应最小均方(leastmean square,LMS)时延估计方法相比,该方法具有算法简单、运算量小、精度高、收敛快的优点。计算机仿真实验和消声水池试验结果均验证了该算法的有效性。By minimizing the least square error between the input signal and the reference signal, a new method of high precision adaptive FIR time delay estimation is presented. This method is used to recursively update the coefficients of the FIR filter based on the least squares (LS) algorithm and parameter model. It has a beneficial feature of simple algorithm, light computational cost, high precision, and fast convergence rate comparing with the generalized cross-correlation, phase spectrum, parameter model, and traditional least mean square (LMS) adaptive method. Computer simulations and experiment in an anechoic water tank show that this method is effective, which has been proved to be useful in the application of an underwater target bearing estimation project.
关 键 词:自适应FIR 最小二乘估计 时延估计 目标定向 信号检测
分 类 号:TN911.23[电子电信—通信与信息系统]
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