A Generalized Probabilistic Data Association Detector for Multiple Antenna Systems

Abstract

Abstract-The Probabilistic Data Association (PDA) method for multiuser detection (MUD) over synchronous CDMA channels is extended to the signal detection problem in V-BLAST systems. Computer simulations show that the algorithm has an error probability that is significantly lower than that of the V-BLAST optimal order detector and has a computational complexity that is cubic in the number of transmit antennas.Index Terms-Code-division multiple access (CDMA), Probabilistic Data Association (PDA), QAM, V-BLAST.

A SISO Iterative Probabilistic Data Association Detector for MIMO Systems

“…It can be written in forms of the subvectors X[k, which are obtained by omitting the kth element of x, and LPjpri k] as [6] E XG r (p(<X)exp( where y H r, G= HH and n= HT . Please refer to [4], [5] for detailed description.…”

“…The detailed procedure for the hard PDA detector is presented in [4], [5], and the overall complexity of the PDA detection algorithm can be substantially reduced by applying the computational "speed-up" tactics presented in [5].…”

“…Sphere Decoder (SD) and Probabilistic Data Association (PDA) [4] are two MIMO detectors that can provide near optimal performance at relatively low complexity in certain scenarios. As mentioned above, a drawback of the SD family of detectors is that, for close-to-ML performance, complexity remains high in the low signal-to-noise (SNR) regime or when the number of symbols to be jointly detected is large [5].…”

“…In this paper, we extend the hard PDA MIMO detector [4] to SISO PDA detector. This substantially reduces the PDA internal iteration number and avoids the near singularity problem in calculating the inverse matrix of the effective noise covariance in high SNR.…”

An Efficient Signal Detection Algorithm for 3GPP LTE Downlink

“…The relation between the SIC based MIMO detection and the decision feedback equalizer (DFE) is exploited in [5]. A probabilistic data association (PDA) algorithm, which was devised for the multiuser detection in [6], is applied to the MIMO detection in [7]. In [8], the partial maximum a posteriori probability (MAP) principle is derived to discuss the optimality of the SIC based detection.…”