Title :
Performance Analysis and Computational Complexity Comparison of Sequence Detection Receivers With No Explicit Channel Estimation
Author :
Wu, Mingwei ; Kam, Pooi Yuen
Author_Institution :
Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore, Singapore
fDate :
6/1/2010 12:00:00 AM
Abstract :
We consider a single-input-multiple-output (SIMO) fading channel that can be assumed static over a duration of L symbols. We show that the generalized likelihood ratio test (GLRT) receiver for detecting a block of L uncoded symbols does not require channel-state information (CSI). By deriving an exact closed-form pairwise error probability expression for the detector over slowly time-varying Rayleigh fading, we show that its performance approaches that of coherent detection with perfect CSI when L becomes large. To detect a very long sequence of S symbols over a channel that can be assumed to remain static only over L symbols, where S ≫ L, while keeping computational complexity low, we consider three pilot-based algorithms, namely, the trellis search algorithm, pilot-symbol-assisted block detection, and decision-aided block detection. We compare them with the two existing block-by-block detection algorithms, namely, lattice decoding and sphere decoding, and show the former´s advantages in complexity and performance.
Keywords :
Rayleigh channels; channel estimation; computational complexity; error statistics; fading channels; radio receivers; search problems; channel estimation; channel-state information; closed-form pairwise error probability expression; computational complexity; decision-aided block detection; generalized likelihood ratio test receiver; performance analysis; pilot-symbol-assisted block detection; sequence detection receivers; single-input-multiple-output fading channel; trellis search algorithm; uncoded symbols block detecting; Channel-state information (CSI); decision-aided block detection (DABD); fading channels; lattice decoding; pilot-symbol-assisted block detection (PSABD); sequence detection; sphere decoding; trellis search;
Journal_Title :
Vehicular Technology, IEEE Transactions on
DOI :
10.1109/TVT.2010.2045907