2003 article

Joint channel estimation and data detection in space-time communications

Cozzo, C., & Hughes, B. L. (2003, August). IEEE TRANSACTIONS ON COMMUNICATIONS, Vol. 51, pp. 1266–1270.

By: C. Cozzo* & B. Hughes n

author keywords: expectation-maximization (EM) algorithm; fading channels; iterative receivers; joint detection and estimation; space-time coding; transmit diversity
TL;DR: Simulation results show that the iterative space-time receiver based on the expectation-maximization algorithm can often achieve near-coherent performance with modest complexity and using very few pilot symbols. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: August 6, 2018

2003 article

Space diversity in presence of discrete multipath fading channel

Cozzo, C., & Hughes, B. L. (2003, October). IEEE TRANSACTIONS ON COMMUNICATIONS, Vol. 51, pp. 1629–1632.

By: C. Cozzo* & B. Hughes n

author keywords: fading channels; receive diversity; space-time coding; transmit diversity
TL;DR: This letter considers a multipath channel in which the signal propagates from the transmitter to the receiver via L discrete paths which are uniformly distributed about the transmitter and receiver and observes that performance is significantly influenced by the presence of a channel with few multipath components. (via Semantic Scholar)
UN Sustainable Development Goal Categories
15. Life on Land (OpenAlex)
Source: Web Of Science
Added: August 6, 2018

2002 journal article

An adaptive receiver for space-time trellis codes based on per-survivor processing

IEEE TRANSACTIONS ON COMMUNICATIONS, 50(8), 1213–1216.

By: C. Cozzo* & B. Hughes n

author keywords: channel tracking; fading channels; joint detection and estimation; per-survivor processing; space-time coding; transmit diversity
TL;DR: An adaptive receiver based on per-survivor processing for detecting space-time trellis codes transmitted over time-selective flat-fading channels can outperform iterative approaches based on Kalman filtering and the expectation-maximization algorithm at the cost of increased receiver complexity. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: August 6, 2018

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