First , we study the algorithms of the classical music and root - music . compared with the classical music , root - music had less calculation consumption . and when the signals are coherent or correlated we have presented a modified music algorithm 在music类算法中,比较了求根music和经典music算法,其中求根music算法相对于经典music算法大大减少了计算量并提高了估计精度。
Based on the correct evaluation of the means and covariance of the measurement error in cartesian coordinate system , the algorithm processes the radar measurements sequentially , and the linearization of measurement equation is no longer neccessary 作者推导了有测速数据时的去偏转换卡尔曼滤波算法。此算法估计精度和计算效率比以前的方法有较大改善，对测量方程不做近似处理。
And then , the esprit bearing estimation problem . is reformulated using fourth - order cumulant matrices instead of auto - correlation matrices . by doing so , the fourth - order cumulant matrices of additive colored gaussian noises can be suppressed 在此基础之上，将esprit方法扩展到四阶方法，用四阶累积量矩阵代替自相关矩阵，实现对加性有色高斯噪声的抑制，提高算法的估计精度。
We give out the algorithms of models transformations in order to study conveniently . and we test & verify their validity by analyzing the performance of detection & precision of estimation , thus demonstrating that the thought of bimodal noise is practicable 本文给出了模型转换算法，以方便研究；并从检测性能和估计精度的角度验证了其有效性，从而说明双模噪声思想是一种实用的想法。
At the same time , its precision is obvious well than experiment one . square root of the average of the square summation of the difference between all estimated node water pressure h * and all real node water pressure h0 is 2 . 04m in xi ' ning network 计算表明，模糊聚类选择的测压点具有较好的代表性，估计的40个节点水压值与实测值误差的方均根为2 . 04m ，估计精度较高，能满足管网模拟的要求。
