Nonlinear Blind Equalization Based on Adaptive Correlation Elimination Algorithm
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    Abstract:

    The performance of modern wide band software radio receiver (SDR) is deteriorated by nonlinear receiver with memory effect. Thus this paper puts forward a blind nonlinear equalization method called adaptive correlation elimination algorithm to suppress the nonlinear effect of Wiener receiver. Owing to independence of signals, taking the orthogonal frequency division multiplexing (OFDM) signal as an example, the algorithm detects correlation between signal and its remaining harmonic so that it can adjust the weights of nonlinear compensation model adaptively. The simulation result suggests that the algorithm can suppress the nonlinear effect of receiver under the large interference, reduce the error rate of weak signal, and enhance sensitivity of receiver, with low complexity.

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Peng Xuan, Qiu Xin, Mu Fuqi, Leng Yongqing. Nonlinear Blind Equalization Based on Adaptive Correlation Elimination Algorithm[J].,2018,33(5):818-825.

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History
  • Received:May 09,2017
  • Revised:February 28,2018
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  • Online: October 29,2018
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