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A Novel Iterative Combining-Equalization Algorithm Based on MMSE Criterion for Solving ISI and deep fading Problems
In high frequency (HF) communication systems, the intersymbol interference and deep fading effect of ionosphere channel seriously hindered the improvement of data transmission rate. In order to solve these problems, in this paper, a novel iterative combining-equalization (ICE) algorithm based on minimum mean square error (MMSE) criterion is proposed. In the algorithm, diversity combining and equalization are realized in one linear filter simultaneously, through exchanging log-likelihood ratio values between soft-input soft-output (SISO) decoder and SISO combining-equalizer iteratively. Considering the additional computational burden brought by iteration process, a simplified method with low performance loss is given. In addition, convergence properties of the proposed ICE algorithm and its low-complexity approach are also analyzed by employing an extrinsic information transfer chart. Simulation results show that the proposed algorithm reduces the receiver bit error rate effectively and the low-complexity algorithm can achieve an excellent tradeoff between complexity and performance.
Iteration, minimum mean square error, linear filtering, low-complexity, convergence analysis.
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