2009Unpublished venueRequires access

Iterative joint detection and decoding based on intereference cancellation

Zhou Huayu, Hui Tang, Qin Zhang

Open publisher page 1 citations

Abstract

In TDD-CDMA, the detection method conventionally is MMSE-BDFE (minimum mean square error-block decision feedback equalization) based joint detection. MMSE-IC is an efficient detection algorithm in V-BLAST. To adopt the advantages of MMSE-IC (minimum mean square error-interference cancellation), we can embed MMSE-BDFE into MMSE-IC. Furthermore, we can postpone the interference cancellation after decoding, and joint detect the remained users' data from the remained signals in the next iteration. By the aid of interference cancellation after decoding, the decoding decision gain and interference cancellation gain can be obtained, so the performance is improved especially when the users' number is large. The experiments show that the proposed methods have better performance.

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What this paper is about

In TDD-CDMA, the detection method conventionally is MMSE-BDFE (minimum mean square error-block decision feedback equalization) based joint detection. MMSE-IC is an efficient detection algorithm in V-BLAST. To adopt the advantages of MMSE-IC (minimum mean square error-interference cancellation), we can embed MMSE-BDFE into MMSE-IC. Furthermore, we can postpone the interference cancellation after decoding, and joint detect the remained users' data from the remained signals in the next iteration. By the aid of interference cancellation after decoding, the decoding decision gain and interference cancellation gain can be obtained, so the performance is improved especially when the users' number is large. The experiments show that the proposed methods have better performance.

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Available abstract

In TDD-CDMA, the detection method conventionally is MMSE-BDFE (minimum mean square error-block decision feedback equalization) based joint detection. MMSE-IC is an efficient detection algorithm in V-BLAST. To adopt the advantages of MMSE-IC (minimum mean square error-interference cancellation), we can embed MMSE-BDFE into MMSE-IC. Furthermore, we can postpone the interference cancellation after decoding, and joint detect the remained users' data from the remained signals in the next iteration. By the aid of interference cancellation after decoding, the decoding decision gain and interference cancellation gain can be obtained, so the performance is improved especially when the users' number is large. The experiments show that the proposed methods have better performance.

Key concepts: Single antenna interference cancellation, Minimum mean square error, Decoding methods, Joint (building), Computer science, Interference (communication), Algorithm, Equalization (audio)

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