Training Sequence Design for Discriminatory Channel Estimation in Wireless MIMO Systems

Abstract--This paper proposes a training-based channel estimation scheme for achieving quality-of-service discrimination between legitimate and unauthorized receivers in wireless multiple-input multiple-output (MIMO) channels. The proposed method has applications ranging from user discrimination in wireless TV broadcast systems to the prevention of eavesdropping in secret communications. By considering a wireless MIMO system that consists of a multiple-antenna transmitter, a legitimate receiver (LR) and an unauthorized receiver (UR), we propose a multi-stage training-based discriminatory channel estimation (DCE) scheme that aims to optimize the channel estimation performance of the LR while limiting the channel estimation performance of the UR. The key idea is to exploit the channel estimate fed back from the LR at the beginning of each stage to enable the judicious use of artificial noise (AN) in the training signal. Specifically, with knowledge of the LR's channel, AN can be pro...

• Type: Journal
• Year: 2010
• Where: TSP
• Authors: Tsung-Hui Chang, Wei-Cheng Chiang, Yao-Win Peter Hong, Chong-Yung Chi
• Keywords: Artificial Intelligence, Channel Estimate, Channel Estimation, Channel Estimation Performance, TSP 2010