Performance analysis of least mean square and recursive least square channel estimation techniques under multipath fading environmental conditions
Performance analysis of least mean square and recursive least square channel estimation techniques under multipath fading environmental conditions
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多径衰落环境条件下最小均方和递归最小二乘信道估计技术的性能分析
DOI：
10.1109/icaccs.2017.8014684
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发表时间：
2017
期刊：
影响因子：
--
通讯作者：
Priyatam Kumar
中科院分区：
文献类型：
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作者：
S. Ramakrishna;Shashidhar S Neelakanthmath;Priyatam Kumar
在实际场景中，信号或数据从源到目的的传输是非常具有挑战性的。由于周围环境的变化会影响传输信号。ISI，多路径将破坏数据，这些数据出现在接收器或目的地。由于这种时变多径衰落，在接收端采用了不同的信道估计滤波器来提高性能。在AWGN信道和Rayleigh信道中，分析了不同多径衰落环境下LMS和RLS自适应算法对时变信道的估计性能。
In practical scenario the transmission of signal or data from source to destination is very challenging. As there is a lot of surrounding environmental changes which influence the transmitted signal. The ISI, multipath will corrupt the data and this data appears at the receiver or destination. Due to this time varying multipath fading different channel estimation filter at the receiver are used to improve the performance. The performance of LMS and RLS adaptive algorithms are analyzed over a AWGN and Rayleigh channels under different multipath fading environments for estimating the time-varying channel.