A QRD-M/Kalman filter-based detection and channel estimation algorithm for MIMO-OFDM systems
A QRD-M/Kalman filter-based detection and channel estimation algorithm for MIMO-OFDM systems
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DOI：
10.1109/twc.2004.842951
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发表时间：
2005-03
影响因子：
10.4
通讯作者：
Kyeong Jin Kim;J. Yue;R. Iltis;J. Gibson
中科院分区：
文献类型：
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作者：
Kyeong Jin Kim;J. Yue;R. Iltis;J. Gibson
使用多个发射/接收天线形成多输入多输出(MIMO)系统可以显著提高信道容量。为了提高频谱效率和多用户下行链路吞吐量，本文考虑了一种V-BLAST类型的将正交频分复用(OFDM)与MIMO(MIMO-OFDM)相结合的方案。将QRD-M算法和卡尔曼滤波相结合，提出了一种新的MIMO-ofdm联合数据检测和信道估计算法。使用卡尔曼滤波跟踪天线单元之间的各个信道，而QRD-M算法使用有限的树搜索来逼近最大似然检测器。对于M=1的QPSK调制情况，给出了一种基于静态信道实现的闭合形式的误符号率。还考虑了一种自适应复杂度QRD-M算法(AC-QRD-M)，它根据每个子载波的估计接收功率来分配不同的M值。利用核密度估计和Lloyd-Max算法相结合，得到了用子载波功率选择M的规则。
The use of multiple transmit/receive antennas forming a multiple-input multiple-output (MIMO) system can significantly enhance channel capacity. This paper considers a V-BLAST-type combination of orthogonal frequency-division multiplexing (OFDM) with MIMO (MIMO-OFDM) for enhanced spectral efficiency and multiuser downlink throughput. A new joint data detection and channel estimation algorithm for MIMO-OFDM is proposed which combines the QRD-M algorithm and Kalman filter. The individual channels between antenna elements are tracked using a Kalman filter, and the QRD-M algorithm uses a limited tree search to approximate the maximum-likelihood detector. A closed-form symbol-error rate, conditioned on a static channel realization, is presented for the M=1 case with QPSK modulation. An adaptive complexity QRD-M algorithm (AC-QRD-M) is also considered which assigns different values of M to each subcarrier according to its estimated received power. A rule for choosing M using subcarrier powers is obtained using a kernel density estimate combined with the Lloyd-Max algorithm.