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MIMO Detection Techniques Based on Low Complexity Adaptive QR-Decomposition with M-Algorithm for 3GPP LTE Systems

机译:3GPP LTE系统中基于M算法的低复杂度自适应QR分解的MIMO检测技术

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摘要

In this paper, two novel multiple-input multiple-output (MIMO) detection algorithms, adaptive parallel QRDM (APQRDM) and adaptive iterative QRDM (AIQRDM) which are able to achieve the similar detection throughput as conventional QRDM while reducing the computational complexity, are introduced, and the system performances are evaluated on the platform of 3GPP LTE downlink. In both 2 × 2 and 4 × 4 MIMO, APQRDM and AIQRDM algorithms can achieve almost same packet error rate performance as those of conventional QRDM algorithm, while the computational complexity is significantly reduced. Also, the receiver employing APQRDM and AIQRDM detection algorithms shows the almost same throughput as the case of conventional MIMO detection algorithms. Furthermore, practical channel estimation techniques are employed, and the system performances are thoroughly analyzed and discussed.
机译:在本文中,两种新颖的多输入多输出(MIMO)检测算法分别是自适应并行QRDM(APQRDM)和自适应迭代QRDM(AIQRDM),它们能够实现与传统QRDM相似的检测吞吐量,同时降低了计算复杂度。介绍,并在3GPP LTE下行链路平台上评估系统性能。在2×2和4×4 MIMO中,APQRDM和AIQRDM算法可以实现与传统QRDM算法几乎相同的分组错误率性能,同时显着降低了计算复杂度。而且,采用APQRDM和AIQRDM检测算法的接收机显示出与常规MIMO检测算法几乎相同的吞吐量。此外,采用了实用的信道估计技术,并对系统性能进行了全面的分析和讨论。

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