Generalized projection algorithm for blind interference suppression in DS/CDMA communications

Sang C. Park; John F. Doherty

doi:10.1109/82.592574

Generalized projection algorithm for blind interference suppression in DS/CDMA communications

Sang C. Park, John F. Doherty

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

39 Scopus citations

Abstract

453-460. New blind adaptive interference suppression algorithms for DS/CDMA communication systems are presented. A generalized projection algorithm is presented to update a multiple access interference (MAI) suppression filter in a static communication environment. The algorithm adaptively adjusts the filter coefficients by iteratively projecting them onto constraint sets. The constraint sets consist of data sets and property sets, which are obtained from the received signal and prior knowledge of the desired signal, respectively. A space alternating generalized projection algorithm with approximate EM mapping is also presented to suppress the MAI in a dynamic communication environment. This algorithm jointly estimates the filter and desired signal amplitude using a stochastic approximation of the EM algorithm. The performance characteristics of the proposed algorithms are shown by output signal-to-interference ratio and bitor-rate simulation results. The results show that the proposed algorithms significantly outperform the existing adaptive algorithms in steady state.

Original language	English (US)
Pages (from-to)	453-460
Number of pages	8
Journal	IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing
Volume	44
Issue number	6
DOIs	https://doi.org/10.1109/82.592574
State	Published - 1997

All Science Journal Classification (ASJC) codes

Signal Processing
Electrical and Electronic Engineering

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10.1109/82.592574

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title = "Generalized projection algorithm for blind interference suppression in DS/CDMA communications",

abstract = "453-460. New blind adaptive interference suppression algorithms for DS/CDMA communication systems are presented. A generalized projection algorithm is presented to update a multiple access interference (MAI) suppression filter in a static communication environment. The algorithm adaptively adjusts the filter coefficients by iteratively projecting them onto constraint sets. The constraint sets consist of data sets and property sets, which are obtained from the received signal and prior knowledge of the desired signal, respectively. A space alternating generalized projection algorithm with approximate EM mapping is also presented to suppress the MAI in a dynamic communication environment. This algorithm jointly estimates the filter and desired signal amplitude using a stochastic approximation of the EM algorithm. The performance characteristics of the proposed algorithms are shown by output signal-to-interference ratio and bitor-rate simulation results. The results show that the proposed algorithms significantly outperform the existing adaptive algorithms in steady state.",

author = "Park, {Sang C.} and Doherty, {John F.}",

note = "Funding Information: Manuscript received March 24, 1997. This work was supported by the U.S. Army Research Office under Grant DAAH04-95-1-0342. This paper was recommended by Guest Ediors S. Kiaei and E. G. Friedman The authors are with the Department of Electrical Engineering, Pennsylvania State University, University Park, PA 16802 USA. Publisher Item Identifier S 1057-7130(97)04786-1.",

year = "1997",

doi = "10.1109/82.592574",

language = "English (US)",

volume = "44",

pages = "453--460",

journal = "IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing",

issn = "1057-7130",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "6",

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TY - JOUR

T1 - Generalized projection algorithm for blind interference suppression in DS/CDMA communications

AU - Park, Sang C.

AU - Doherty, John F.

N1 - Funding Information: Manuscript received March 24, 1997. This work was supported by the U.S. Army Research Office under Grant DAAH04-95-1-0342. This paper was recommended by Guest Ediors S. Kiaei and E. G. Friedman The authors are with the Department of Electrical Engineering, Pennsylvania State University, University Park, PA 16802 USA. Publisher Item Identifier S 1057-7130(97)04786-1.

PY - 1997

Y1 - 1997

N2 - 453-460. New blind adaptive interference suppression algorithms for DS/CDMA communication systems are presented. A generalized projection algorithm is presented to update a multiple access interference (MAI) suppression filter in a static communication environment. The algorithm adaptively adjusts the filter coefficients by iteratively projecting them onto constraint sets. The constraint sets consist of data sets and property sets, which are obtained from the received signal and prior knowledge of the desired signal, respectively. A space alternating generalized projection algorithm with approximate EM mapping is also presented to suppress the MAI in a dynamic communication environment. This algorithm jointly estimates the filter and desired signal amplitude using a stochastic approximation of the EM algorithm. The performance characteristics of the proposed algorithms are shown by output signal-to-interference ratio and bitor-rate simulation results. The results show that the proposed algorithms significantly outperform the existing adaptive algorithms in steady state.

AB - 453-460. New blind adaptive interference suppression algorithms for DS/CDMA communication systems are presented. A generalized projection algorithm is presented to update a multiple access interference (MAI) suppression filter in a static communication environment. The algorithm adaptively adjusts the filter coefficients by iteratively projecting them onto constraint sets. The constraint sets consist of data sets and property sets, which are obtained from the received signal and prior knowledge of the desired signal, respectively. A space alternating generalized projection algorithm with approximate EM mapping is also presented to suppress the MAI in a dynamic communication environment. This algorithm jointly estimates the filter and desired signal amplitude using a stochastic approximation of the EM algorithm. The performance characteristics of the proposed algorithms are shown by output signal-to-interference ratio and bitor-rate simulation results. The results show that the proposed algorithms significantly outperform the existing adaptive algorithms in steady state.

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JO - IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing

JF - IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing

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ER -

Generalized projection algorithm for blind interference suppression in DS/CDMA communications

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