Title :
Pilot-symbol-assisted coded transmission over the block-noncoherent AWGN channel
Author :
Nuriyev, Rza ; Anastasopoulos, Achilleas
Author_Institution :
Electr. Eng. & Comput. Sci. Dept., Univ. of Michigan, Ann Arbor, MI, USA
fDate :
6/1/2003 12:00:00 AM
Abstract :
In this paper, pilot-symbol-assisted transmission in conjunction with high-performance coding over the block-independent noncoherent additive white Gaussian noise channel is investigated. Several approximate iterative receivers are proposed, which either perform carrier-phase estimation separately from detection, or joint carrier-phase estimation/decoding in an iterative fashion. The performance of the proposed receivers is analyzed using density evolution. The power allocation to the pilot symbol is quantified, and it is shown that an optimal allocation scheme exists that minimizes the overall information bit signal-to-noise ratio required for error-free communication. This optimal power allocation, which could be utilized in code design, is found to be sensitive to the channel coherence interval, as well as to the particular receiver used. In addition, a simple upper bound on the performance of any receiver that performs joint iterative carrier-phase estimation and detection, is derived. The obtained results are compared with the simulated performance of the proposed receivers.
Keywords :
AWGN channels; iterative decoding; maximum likelihood detection; parity check codes; phase estimation; LDPC code; additive white Gaussian noise channel; approximate iterative receivers; bit signal-to-noise ratio; block-independent noncoherent channel; block-noncoherent AWGN channel; channel coherence interval; code design; density evolution; differential encoding; error-free communication; high-performance coding; iterative detection; joint carrier-phase estimation/decoding; joint iterative carrier-phase estimation; maximum-likelihood sequence detection; optimal allocation; optimal power allocation; pilot-symbol-assisted coded transmission; receivers; simulated performance; symbol-by-symbol MAP detection; upper bound; AWGN channels; Additive white noise; Frequency; Information theory; Iterative decoding; Parity check codes; Performance analysis; Phase estimation; Signal to noise ratio; Upper bound;
Journal_Title :
Communications, IEEE Transactions on
DOI :
10.1109/TCOMM.2003.813258