【摘要】：針對(duì)多輸入多輸出-正交頻分復(fù)用系統(tǒng)中最大似然檢測(cè)算法難以硬件實(shí)現(xiàn)以及傳統(tǒng)的信道估計(jì)性能較差等缺陷,提出了一種聯(lián)合估計(jì)檢測(cè)算法.該算法使用離散傅里葉變換-最小二乘(DFT-LS)算法進(jìn)行信道初估計(jì),利用廣義空間迭代期望最大化(SAGE)算法對(duì)估計(jì)的信道信息進(jìn)行校正,并結(jié)合改進(jìn)的粒子群優(yōu)化(IPSO)算法完成對(duì)信號(hào)的迭代檢測(cè),使系統(tǒng)性能得到改善.仿真分析結(jié)果表明,算法能以較少的迭代次數(shù)估計(jì)出信道狀態(tài)信息和檢測(cè)數(shù)據(jù);在相同誤比特率的情況下,性能優(yōu)于經(jīng)典檢測(cè)算法,與理想狀態(tài)下的最大似然檢測(cè)算法僅相差1 dB左右.
[Abstract]:A joint estimation detection algorithm is proposed to overcome the difficulties of hardware implementation and the poor performance of traditional channel estimation in multi-input multiple-output orthogonal frequency division multiplexing systems. The algorithm uses discrete Fourier transform-least squares (DFT-LS) algorithm for channel initial estimation, and uses generalized space iterative expectation maximization (SAGE) algorithm to correct the estimated channel information. The improved particle swarm optimization (IPSO) algorithm is used to detect the signal iteratively, and the system performance is improved. Simulation results show that the algorithm can estimate channel state information and detection data with less iteration times. In the case of the same bit error rate, the performance is better than the classical detection algorithm, which is only 1 dB different from the maximum likelihood detection algorithm in ideal state.
【作者單位】： 哈爾濱工程大學(xué)信息與通信工程學(xué)院;
【基金】：國(guó)家自然科學(xué)基金項(xiàng)目(F010201) 中央高�；究蒲袠I(yè)務(wù)專項(xiàng)基金項(xiàng)目(HEUCF130802)
【分類號(hào)】：TN919.3
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本文編號(hào)：2308118