deposit_your_work

An Efficient Detection Technique for Synchronous CDMA Communication Systems Based on the Expectation Maximization Algorithm

Files in this item

Files Size Format View
Bor2000Sep1AnEfficien.PDF 141.7Kb application/pdf Thumbnail

Show full item record

Item Metadata

Title: An Efficient Detection Technique for Synchronous CDMA Communication Systems Based on the Expectation Maximization Algorithm
Author: Borran, Mohammad Jaber; Nasiri-Kenari, Masoumeh
Type: Journal Paper
Keywords: Code-division multiple-access (CDMA) systems; expectation maximization (EM) algorithm; multiuser detection; spread spectrum
Citation: M. J. Borran and M. Nasiri-Kenari, "An Efficient Detection Technique for Synchronous CDMA Communication Systems Based on the Expectation Maximization Algorithm," IEEE Vehicular Technology Conference (VTC), vol. 49, pp. 1663-1669, 2000.
Abstract: Maximum likelihood detection of superimposed signals in code-division multiple access (CDMA) communication systems has a computational complexity that is exponential in the number of users, and its implementation is practically prohibitive even for a moderate number of users. Applying the expectation maximization algorithm to this problem, we decompose the multiuser detection problem into a series of single-user problems, and thus present an iterative computationally efficient algorithm for detection of superimposed signals in synchronous direct-sequence CDMA communication systems. The resulting structure includes the well-known multistage detector as one of its special cases. With a proper choice of its parameters, the new detector can achieve the advantages of both the multistage and conventional detector and have good performance for both strong and weak users.
Date Published: 2000-09-20

This item appears in the following Collection(s)

  • ECE Publications [1028 items]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students
  • CMC Publications [275 items]
    Publications by Rice Faculty and graduate students in multimedia communications