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机构地区:[1]哈尔滨理工大学测控技术与通信工程学院,黑龙江哈尔滨150040 [2]哈尔滨理工大学自动化学院,黑龙江哈尔滨150080
出 处:《哈尔滨理工大学学报》2009年第1期47-50,共4页Journal of Harbin University of Science and Technology
摘 要:LS估计算法不需要了解信道的统计特性,从而对接收机结构要求比较简单,但是噪声的存在使这种信道估计的性能与理想信道差异很大,对系统性能影响较大.在研究分析了最小平方(Least Square LS)信道估计算法的基础上,对该算法进行了改进,降低了噪声对信道估计的影响.仿真试验表明该算法减少了信道估计的均方误差,提高了LS估计算法的正确性.LS estimation algorithm does not need to understand the statistical properties of channels, which require relatively simple structure of the receiver, in the actual application of the system, has certain advantages, but the noise of the existence of such a channel estimation of the performance and the ideal channel differences, the system greater impact on performance. This study analyzed the least squares (Least Square LS) channel estimation algorithm based on the algorithm to improve and reduce the noise on the channel estimation. The simulation results show that the algorithm to reduce the channel is estimated that the mean square error, the LS is estimated to increase the accuracy of the algorithm.
分 类 号:TN911[电子电信—通信与信息系统]
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