학술논문

Maximum-Likelihood Sequence Detection in Time- and Frequency-Selective MIMO Channels With Unknown Order
Document Type
Periodical
Source
IEEE Transactions on Vehicular Technology IEEE Trans. Veh. Technol. Vehicular Technology, IEEE Transactions on. 58(1):499-504 Jan, 2009
Subject
Transportation
Aerospace
Maximum likelihood detection
Frequency
MIMO
Maximum likelihood estimation
Degradation
Channel estimation
Computational complexity
Intersymbol interference
Algorithm design and analysis
Computer simulation
Channel order estimation
joint channel and data estimation
multiple-input–multiple-output (MIMO)
per-survivor processing (PSP)
Language
ISSN
0018-9545
1939-9359
Abstract
In the equalization of frequency-selective multiple-input–multiple-output (MIMO) channels, it is usually assumed that the length of the channel impulse response (CIR), which is also referred to as the channel order, is known. However, this is not true in most practical situations, and it is a common approach to overestimate the channel order to avoid the serious performance degradation that occurs when the CIR length is underestimated. Unfortunately, the computational complexity of maximum-likelihood sequence detection (MLSD) in frequency-selective channels exponentially grows with the channel order; hence, overestimation can actually be undesirable because it leads to more expensive and inefficient receivers. In this paper, we introduce an algorithm for MLSD that incorporates the full estimation of the MIMO CIR parameters, including its order. The proposed technique is based on the per-survivor processing (PSP) methodology; it admits both blind and semiblind implementations, depending on the availability of pilot data, and is designed to work with time-selective channels. In addition to the analytical derivation of the algorithm, we provide computer simulation results that illustrate the effectiveness of the resulting receiver.