A QRD-M/Kalman filter-based detection and channel estimation algorithm for MIMO-OFDM systems

• Published in: IEEE transactions on wireless communications Vol. 4; no. 2; pp. 710 - 721
• Main Authors: Kyeong Jin Kim, Jiang Yue, Iltis, R.A., Gibson, J.D.
• Format: Journal Article
• Language: English
• Published: Piscataway, NJ IEEE 01.03.2005; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Antennas; Applied sciences; Channel capacity; Channel estimation; Downlink; Exact sciences and technology; Frequency division multiplexing; Frequency-division multiplexing (FDM); Kalman filtering (KF); Kalman filters; maximum likelihood (ML); Maximum likelihood detection; MIMO; OFDM; Radiocommunications; Receiving antennas; sequential detection; Systems, networks and services of telecommunications; Telecommunications; Telecommunications and information theory; Throughput; Transmission and modulation (techniques and equipments); Performance evaluation; sequential detection; Parameter estimation; Kalman filter; Information rate; Data transmission; Downlink; maximum likelihood (ML); Channel estimation; Receiving antenna; Antenna array; Symbol error rate; MIMO system; Multiple access; Target tracking; Channel capacity; Kalman filtering (KF); Transmission channel; Algorithm; Information transmission; Joint detection; Transmitting antenna; QR factorization; Orthogonal frequency division multiplexing; Search tree; Maximum likelihood; Frequency-division multiplexing (FDM)
• ISSN: 1536-1276; 1558-2248
• DOI: 10.1109/TWC.2004.842951

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.