Nested Iterative Receiver Design with Joint Estimation and Detection for Mobile OFDM
Date Issued
2010
Date
2010
Author(s)
Wang, Chien-Yi
Abstract
Wireless communication makes our life much more convenient. In everyday life, we can see applications of wireless technology everywhere, for example, cell phone, WLAN, digital TV, and GPS, etc. The research of wireless communication systems for next generation is going on. The objective is to increase data rate and to support high mobility. Orthogonal frequency-division multiplexing (OFDM) is one of the most popular modulation techniques and already adopted in many wireless standards. OFDM systems utilize bandwidth efficiently and provide high data rate. However, OFDM is vulnerable to rapid channel variation which causes the degradation of transmission quality.
For wireless communication in stationary or low-speed applications, we may assume the wireless channel is wide-sense stationary (WSS). Nevertheless, regarding the receiver design for high-speed applications, some channel characteristics shall not be neglected, say, delay drift and multipath birth/death. If we still make the WSS assumption, such design cannot survive in highly mobile scenarios. In order for OFDM systems to support high mobility in daily life, for example, high-speed trains and vehicles on highway, we propose a low-complexity and practical algorithm which considers channel estimation and data detection jointly. To justify the practicability, we verify our algorithm in a DVB-T2 system. Combined with LDPC, the forward error correction adopted by DVB-T2, to implement the turbo principle, the proposed algorithm is able to detect signals at high mobility successfully.
Subjects
Orthogonal frequency division multiplexing (OFDM)
nested iterative receiver
space-alternating generalized expectation-maximization (SAGE) algorithm
joint estimation and detection (JED)
doubly selective channel
Type
thesis
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