Abstract
This paper proposes an iterative equalizer based on Kalman filtering and smoothing (IEKFS) for multiple-input multiple-output inter-symbol interference (MIMO-ISI) channels. A state-space model with a priori information and the corresponding Kalman filtering (KF) and Kalman smoothing (KS) operations are developed. The KF operations perform a linear minimum mean-square error (MMSE) equalization procedure with soft interference cancellation. In addition, the KF and KS operations produce and exchange the updated extrinsic information. During this IEKFS process, the soft estimate of a desired symbol does not participate in the equalization procedures for the desired symbol; only the feedback information of the other transmit symbols is used. Therefore, the proposed IEKFS performs iterative linear MMSE equalization based on the Kalman framework and turbo principle. The complexity of the IEKFS is linear with respect to the number of transmit signal vectors in a transmission block, and simulation results show that the IEKFS can achieve near-optimum bit error rate performances approaching the matched filter bound (MFB) of the channel in various environments.
| Original language | English |
|---|---|
| Article number | 7160764 |
| Pages (from-to) | 5111-5120 |
| Number of pages | 10 |
| Journal | IEEE Transactions on Signal Processing |
| Volume | 63 |
| Issue number | 19 |
| DOIs | |
| Publication status | Published - 2015 Oct 1 |
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All Science Journal Classification (ASJC) codes
- Signal Processing
- Electrical and Electronic Engineering
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Iterative Equalizer Based on Kalman Filtering and Smoothing for MIMO-ISI Channels. / Park, Sangjoon; Choi, Sooyong.
In: IEEE Transactions on Signal Processing, Vol. 63, No. 19, 7160764, 01.10.2015, p. 5111-5120.Research output: Contribution to journal › Article
TY - JOUR
T1 - Iterative Equalizer Based on Kalman Filtering and Smoothing for MIMO-ISI Channels
AU - Park, Sangjoon
AU - Choi, Sooyong
PY - 2015/10/1
Y1 - 2015/10/1
N2 - This paper proposes an iterative equalizer based on Kalman filtering and smoothing (IEKFS) for multiple-input multiple-output inter-symbol interference (MIMO-ISI) channels. A state-space model with a priori information and the corresponding Kalman filtering (KF) and Kalman smoothing (KS) operations are developed. The KF operations perform a linear minimum mean-square error (MMSE) equalization procedure with soft interference cancellation. In addition, the KF and KS operations produce and exchange the updated extrinsic information. During this IEKFS process, the soft estimate of a desired symbol does not participate in the equalization procedures for the desired symbol; only the feedback information of the other transmit symbols is used. Therefore, the proposed IEKFS performs iterative linear MMSE equalization based on the Kalman framework and turbo principle. The complexity of the IEKFS is linear with respect to the number of transmit signal vectors in a transmission block, and simulation results show that the IEKFS can achieve near-optimum bit error rate performances approaching the matched filter bound (MFB) of the channel in various environments.
AB - This paper proposes an iterative equalizer based on Kalman filtering and smoothing (IEKFS) for multiple-input multiple-output inter-symbol interference (MIMO-ISI) channels. A state-space model with a priori information and the corresponding Kalman filtering (KF) and Kalman smoothing (KS) operations are developed. The KF operations perform a linear minimum mean-square error (MMSE) equalization procedure with soft interference cancellation. In addition, the KF and KS operations produce and exchange the updated extrinsic information. During this IEKFS process, the soft estimate of a desired symbol does not participate in the equalization procedures for the desired symbol; only the feedback information of the other transmit symbols is used. Therefore, the proposed IEKFS performs iterative linear MMSE equalization based on the Kalman framework and turbo principle. The complexity of the IEKFS is linear with respect to the number of transmit signal vectors in a transmission block, and simulation results show that the IEKFS can achieve near-optimum bit error rate performances approaching the matched filter bound (MFB) of the channel in various environments.
UR - http://www.scopus.com/inward/record.url?scp=84941132941&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84941132941&partnerID=8YFLogxK
U2 - 10.1109/TSP.2015.2457399
DO - 10.1109/TSP.2015.2457399
M3 - Article
AN - SCOPUS:84941132941
VL - 63
SP - 5111
EP - 5120
JO - IEEE Transactions on Signal Processing
JF - IEEE Transactions on Signal Processing
SN - 1053-587X
IS - 19
M1 - 7160764
ER -