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_0-norm based adaptive equalization with PMSER criterion for underwater acoustic communications

机译:基于_0范数的自适应均衡(基于PMSER准则)用于水声通信

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摘要

Underwater acoustic channels (UWA) are usually sparse,which can be exploited for adaptive equalization to improve the systemperformance. For the shallow UWA channels, based on the proportionalminimum symbol error rate (PMSER) criterion, the adaptive equalizationframework requires the sparsity selection. Since the sparsity of the _0 normis stronger than that of the _1, we choose it to achieve better convergence.However, because the _0 norm leads to NP-hard problems, it is difficultto find an efficient solution. In order to solve this problem, we choose theGaussian function to approximate the _0 norm. Simulation results showthat the proposed scheme obtains better performance than the _1 basedcounterpart.
机译:水声信道(UWA)通常很稀疏,可用于自适应均衡以提高系统性能。对于浅层UWA信道,基于比例最小误码率(PMSER)准则,自适应均衡框架需要稀疏性选择。由于 _0 范数的稀疏性强于 _1 范数的稀疏性,因此我们选择它来实现更好的收敛性。然而,由于 _0 范数会导致 NP 困难问题,因此很难找到有效的解决方案。为了解决这个问题,我们选择高斯函数来逼近 _0 范数。仿真结果表明,所提方案比基于_1的对应方案具有更好的性能。

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