Tensor-Based Joint Channel Estimation and Symbol Detection for AF MIMO Relay Networks

doi:10.1007/s12204-019-2077-3

Abstract

Abstract: A study on the joint channel and symbol estimation issue is provided for two hop relay networks which employ the amplify-and-forward (AF) relaying approach. The encoding scheme at the source node introduces the time-domain spreading with a time-varying linear constellation precoding. Then, a set of amplifying factors matrices is utilized by the relays to amplify and forward the received data to the destination. The received signal at the destination can be constructed as a fourth-order tensor model, which is referred to as the nested parallel factor (PARAFAC) model. And then, we present a novel Levenberg-Marquardt (LM) algorithm based on this tensor model. The proposed method does not require complex signal processing at the relay, which e?ectively reduces the burden of relay. As a semi-blind method, which does not require the pilot signal, the proposed receiver can jointly recover the channels and information symbols. Moreover, the proposed semi-blind receiver is robust as it can work in different wireless channel scenarios. Simulations are conducted to demonstrate the efficiency of the proposed semi-blind approach.

Key words: fourth-order tensor| semi-blind receiver| Levenberg-Marquardt algorithm| nested parallel factor model| amplify-and-forward

摘要： A study on the joint channel and symbol estimation issue is provided for two hop relay networks which employ the amplify-and-forward (AF) relaying approach. The encoding scheme at the source node introduces the time-domain spreading with a time-varying linear constellation precoding. Then, a set of amplifying factors matrices is utilized by the relays to amplify and forward the received data to the destination. The received signal at the destination can be constructed as a fourth-order tensor model, which is referred to as the nested parallel factor (PARAFAC) model. And then, we present a novel Levenberg-Marquardt (LM) algorithm based on this tensor model. The proposed method does not require complex signal processing at the relay, which e?ectively reduces the burden of relay. As a semi-blind method, which does not require the pilot signal, the proposed receiver can jointly recover the channels and information symbols. Moreover, the proposed semi-blind receiver is robust as it can work in different wireless channel scenarios. Simulations are conducted to demonstrate the efficiency of the proposed semi-blind approach.

关键词: fourth-order tensor| semi-blind receiver| Levenberg-Marquardt algorithm| nested parallel factor model| amplify-and-forward

CLC Number:

TN 929.53

LIN Heyun (林和昀), YUAN Chaowei (袁超伟), DU Jianhe (杜建和), HU Zhongwei (胡仲伟). Tensor-Based Joint Channel Estimation and Symbol Detection for AF MIMO Relay Networks[J]. Journal of Shanghai Jiao Tong University (Science), 2020, 25(1): 88-96.

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