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Computational Complexity of Iterative Channel Estimation and Decoding Algorithms for GSM Receivers

Hailong Cui, Predrag Rapajic

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Abstract

In this chapter we investigate the balance between complexity and BER performance of 4 different types of GSM receiver: The conventional training sequence based channel estimation receiver, iterative channel estimation feedback from equalizer, iterative channel estimation plus iterative equalization and decoding, and combination of iterative channel estimation and Iterative equalization and decoding. The combination of iterative channel estimation and iterative equalization and decoding has the best trade off among the receivers with iterative processes. It has about 1.3 dB gain over conventional receiver using training sequence estimation only.

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What this paper is about

In this chapter we investigate the balance between complexity and BER performance of 4 different types of GSM receiver: The conventional training sequence based channel estimation receiver, iterative channel estimation feedback from equalizer, iterative channel estimation plus iterative equalization and decoding, and combination of iterative channel estimation and Iterative equalization and decoding. The combination of iterative channel estimation and iterative equalization and decoding has the best trade off among the receivers with iterative processes. It has about 1.3 dB gain over conventional receiver using training sequence estimation only.

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Available abstract

In this chapter we investigate the balance between complexity and BER performance of 4 different types of GSM receiver: The conventional training sequence based channel estimation receiver, iterative channel estimation feedback from equalizer, iterative channel estimation plus iterative equalization and decoding, and combination of iterative channel estimation and Iterative equalization and decoding. The combination of iterative channel estimation and iterative equalization and decoding has the best trade off among the receivers with iterative processes. It has about 1.3 dB gain over conventional receiver using training sequence estimation only.

Key concepts: Decoding methods, Equalization (audio), Channel (broadcasting), Algorithm, Computer science, Iterative method, Computational complexity theory, Sequence (biology)

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