Performance enhancement through joint detection of cochannel signals using diversity arrays

On bounding the performance of group-wise multiuser detectors

“…The symbol vector v in (7) is often replaced by an estimatev, which is obtained in a separate estimation process 1 . A groupwise detector makes symbol decisions based on…”

“…INTRODUCTION T HE detection of multiple co-channel signals is a key to spectrally efficient wireless communications such as multiple-input multiple-output systems with either a single or multiple users. Joint maximum likelihood (JML) [1] is the optimum detection technique for such systems. Its computational complexity increases exponentially with the number of co-channel signals making it infeasible for most practical systems.…”

“…Its computational complexity increases exponentially with the number of co-channel signals making it infeasible for most practical systems. A union bound on the performance of JML detection is derived in [1]- [3].…”

Iterative multiuser detection, macrodiversity combining, and decoding for the TDMA cellular uplink

“…The signals from the transmitters arrive asynchronously at receiver , giving rise to the received signal (3) where complex white Gaussian noise process with twosided noise spectral density ; complex fading process; relative propagation delay, which is assumed to be less than one symbol period and sorted in ascending order for . The channel coefficients corresponding to receiver are placed into a vector in round robin fashion, see (4) at the bottom of the page, where are the sampled values of the channel gain between transmitter and (4) receiver . The gains are also placed into a diagonal matrix .…”

“…Likewise, the combination of diversity reception and multiuser detection has attracted attention [4]. In this paper, we apply the turbo concept to the iterative combination of all three processes: diversity reception, multiuser detection, and error correction coding with interleaving.…”