Abstract
Least-mean-squared (LMS) adaptive filtering is a useful technique for suppressing narrowband jammers in a direct sequence spread spectrum receiver. This paper describes a digital LMS adaptive filter which implements the Widrow-Hoff LMS algorithm using a burst processing technique to reduce the multiplier count. In addition, this filter is used to suppress tone and narrowband Gaussian jammers in a 31-chip pseudonoise (PN) spread spectrum system. Experimental bit error rate (BER) results are presented which compare performance of the adaptive receiver with a nonadaptive receiver.
| Original language | English |
|---|---|
| Pages | 1544-1547 |
| Number of pages | 4 |
| State | Published - 1984 |
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