2002
DOI: 10.1109/5.993406
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Code-aided interference suppression for DS/CDMA overlay systems

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Cited by 54 publications
(31 citation statements)
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“…[6] and reviewed in Ref. [7]. Code-aided technique is based on the linear minimum mean-square error (MMSE) algorithm for multiuser detection.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…[6] and reviewed in Ref. [7]. Code-aided technique is based on the linear minimum mean-square error (MMSE) algorithm for multiuser detection.…”
Section: Introductionmentioning
confidence: 99%
“…When the spreading gain does not provide sufficient improvement due to bandwidth restriction (for example, the spreading gain of 802.11 is 11), the NBI rejection capability of a DSSS system can be further improved by using interference rejection filters prior to signal despreading [1][2][3][4][5][6][7] . Milstein reviewed the early NBI suppression techniques based on linear predictors or interpolators in Ref.…”
Section: Introductionmentioning
confidence: 99%
“…The preceding linear and nonlinear methods are primarily predictive methods that exploit the inherent predictability of narrowband interference. Further improvements in interference suppression are theoretically possible by using code-aided methods, which exploit the predictability of the spread-spectrum signal itself [31]. Most of these methods are based on methods that were originally developed for multiuser detection (Section 11).…”
Section: Adaptive Acm Filtermentioning
confidence: 99%
“…In general, the interference suppression technologies can be classified into three schemes: time domain scheme, frequency domain scheme [1] and code-aided interference suppression scheme [2]. Wherein, the FDAJ algorithms with good application prospects, transform the complex filtering process in time domain into simple threshold comparison in frequency domain.…”
Section: Introductionmentioning
confidence: 99%