Steady-state analysis of the adaptive successive interference canceler for DS/CDMA signals

Kuei Chiang Lai; John J. Shynk

doi:10.1109/78.950790

Steady-state analysis of the adaptive successive interference canceler for DS/CDMA signals

Kuei Chiang Lai, John J. Shynk

Institute of Computer and Communication Engineering

Research output: Contribution to journal › Article › peer-review

21 Citations (Scopus)

Abstract

The adaptive successive interference canceler (ASIC) is a multistage receiver that sequentially detects and removes cochannel users from the received signal impinging on a single antenna element. Each stage of the ASIC consists of a conventional matched filter (MF) detector and an adaptive interference canceler (AIC) that employs the least-mean-square (LMS) algorithm to recursively estimate the received amplitude of the detected signal. In this paper, we investigate the performance of the ASIC using a Wiener model of convergence for the LMS algorithm, deriving expressions for the asymptotic mean and variance of the amplitude estimate and the steady-state bit error rate (BER). The analyses and computer simulations demonstrate that the performance of the ASIC exceeds that of the conventional SIC (CSIC), which utilizes the MF output as the received amplitude estimate.

Original language	English
Pages (from-to)	2345-2362
Number of pages	18
Journal	IEEE Transactions on Signal Processing
Volume	49
Issue number	10
DOIs	https://doi.org/10.1109/78.950790
Publication status	Published - 2001 Oct

All Science Journal Classification (ASJC) codes

Signal Processing
Electrical and Electronic Engineering

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10.1109/78.950790

Cite this

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title = "Steady-state analysis of the adaptive successive interference canceler for DS/CDMA signals",

abstract = "The adaptive successive interference canceler (ASIC) is a multistage receiver that sequentially detects and removes cochannel users from the received signal impinging on a single antenna element. Each stage of the ASIC consists of a conventional matched filter (MF) detector and an adaptive interference canceler (AIC) that employs the least-mean-square (LMS) algorithm to recursively estimate the received amplitude of the detected signal. In this paper, we investigate the performance of the ASIC using a Wiener model of convergence for the LMS algorithm, deriving expressions for the asymptotic mean and variance of the amplitude estimate and the steady-state bit error rate (BER). The analyses and computer simulations demonstrate that the performance of the ASIC exceeds that of the conventional SIC (CSIC), which utilizes the MF output as the received amplitude estimate.",

author = "Lai, {Kuei Chiang} and Shynk, {John J.}",

note = "Funding Information: Manuscript received August 17, 2000; revised June 29, 2001. This work was supported by Applied Signal Technology, Inc., and the University of California MICRO Program. The associate editor coordinating the review of this paper and approving it for publication was Prof. Michail K. Tsatsanis.",

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AU - Shynk, John J.

N1 - Funding Information: Manuscript received August 17, 2000; revised June 29, 2001. This work was supported by Applied Signal Technology, Inc., and the University of California MICRO Program. The associate editor coordinating the review of this paper and approving it for publication was Prof. Michail K. Tsatsanis.

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Steady-state analysis of the adaptive successive interference canceler for DS/CDMA signals

Abstract

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