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Blind Symbol Estimation Method in Frequency Selective Fading Channel
Yin Qinye, Jiang Bofeng
(Xi'an Jiaotong University, Xi'an 710049, China)
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Abstract: The least mean square (LMS) iterative algorithm is used to improve the blind symbol estimation method that is based on subspace. This results in drastic reduction of computational work compared with the conventional one. So the improved method is suitable for realizing uplinksignals separation in smart antenna systems. The computer simulation has shown that the improved method has the same effect as the conventional one.
Keywords: blind symbol estimation;least mean square iterative algorithm;smart antenna system