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基于传统的QR分解算法,将最大似然算法应用到QR分解算法中,提出了一种改进的VBLAST解码算法,称为MLQR算法。该算法主要克服QR算法最先检测层性能差的缺点,将最大似然法应用到QR算法中,以最大限度地提高最先检测的两层信号的性能,然后回代到QR算法中检测余下层信号。仿真结果表明,提出的MLQR算法比QR算法和迫零算法在误码性能上要好,特别是在高信噪比下性能得到明显改善。
Based on the traditional QR decomposition algorithm, the maximum likelihood algorithm is applied to the QR decomposition algorithm, and an improved VBLAST decoding algorithm is proposed, which is called MLQR algorithm. The algorithm mainly overcomes the shortcomings of the QR algorithm which first detects the poor performance of the layer and applies the maximum likelihood method to the QR algorithm to maximize the performance of the first two layers of signals detected and then back to the QR algorithm for detection of the remaining Layer signal. Simulation results show that the proposed MLQR algorithm is better than the QR algorithm and the zero-forcing algorithm in the performance of the bit error rate, especially in the high signal-noise ratio has been significantly improved performance.