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中文摘要：
无线传感器网络（ Wireless Sensor Network,WSN）是近年来人们研究的热点。针对无线传感器网络高密度分布的特点,在无线传感器网络进行分簇处理的基础上,文中构造了一种新的虚拟MIMO系统模型,并且针对传统的盲均衡算法进行改进,提出一种新的适用于无线传感网的TXK_Z盲均衡算法,最后对该虚拟MIMO系统利用文中提出的TXK_Z算法进行盲均衡的仿真实验。实验表明,跟传统的盲均衡算法相比,在低信噪比、短数据的环境下,改进后算法的误码率明显降低,性能显著提高。
英文摘要：
WSN is a research hotspot in recent years. In the light of the characteristics of high-density for WSN,based on clustering for processing in the WSN,construct a new virtual MIMO system model,and the traditional blind equalization algorithm is improved,futher more,propose a new blind equalization algorithm of TXK_Z for WSN. At last,use proposed TXK_Z blind equalization algorithm to sim-ulate on the virtual MIMO system. Experimental results show that compared with the traditional blind equalization algorithms, the im-proved algorithm significantly lowers bit error ratio and raises performance significantly under low SNR and short data environment.
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