Title :
A new MIMO detector architecture based on a Forward-Backward trellis algorithm
Author :
Sun, Yang ; Cavallaro, Joseph R.
Author_Institution :
Dept. of Electr. & Comput. Eng., Rice Univ., Houston, TX
Abstract :
In this paper, a recursive forward-backward (F-B) trellis algorithm is proposed for soft-output MIMO detection. Instead of using the traditional tree topology, we represent the search space of the MIMO signals with a fully connected trellis and a forward-backward recursion is applied to compute the a posteriori probability (APP) for each coded data bit. The proposed detector has the following advantages: (a) it keeps a fixed throughput and has a regular datapath structure which makes it amenable to VLSI implementation, and (b) it attempts to maximize the a posteriori probability by tracing both forward and backward on the trellis and it always ensures that at least one candidate exists for every possible transmitted bit xk isin {-1, +1}. Compared with the soft K-best detector, the proposed detector significantly reduces the complexity because sorting is not required, while still maintaining good performance. A maximum throughput of 533 Mbps is achievable at a cost of 576 K gates for 4 times 4 16-QAM system.
Keywords :
MIMO communication; maximum likelihood estimation; quadrature amplitude modulation; radio receivers; recursive estimation; signal detection; telecommunication computing; trellis coded modulation; QAM; VLSI implementation; a posteriori probability; forward-backward trellis algorithm; recursion; soft K-best detector; soft-output MIMO detection; Computer architecture; Decoding; Detectors; MIMO; Matrix decomposition; Receiving antennas; Sun; Throughput; Topology; Very large scale integration;
Conference_Titel :
Signals, Systems and Computers, 2008 42nd Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
978-1-4244-2940-0
Electronic_ISBN :
1058-6393
DOI :
10.1109/ACSSC.2008.5074757