A Regularized LMS Algorithm for Narrowband Interference Rejection in Direct Sequence Spread Spectrum Communications

被引：1

作者：

Doherty J.F. ^{[1
,2
,3
,4
,5
,6
,7
,8
,9
]}

机构：

[1] Department of Electrical Engineering, Pennsylvania State University, University Park

[2] College of Staten Island, City University of New York

[3] Elec. and Comp. Eng. Department, Iowa State University, Ames, IA

[4] Pennsylvania State University, University Park, PA

来源：

Wireless Personal Communications | 1998年 / 7卷 / 1期

关键词：

Adaptive filter; Interference rejection; Spread spectrum;

D O I：

10.1023/A:1008863525245

中图分类号：

学科分类号：

摘要：

A regularized LMS technique is presented that uses a modified optimality criterion which enhances the detection capabilities of direct sequence spread spectrum systems. The rejection filter is updated based upon an additional regularization input which limits the self-noise of the filter, especially at moderate signal-to-interference power ratios. The regularization is controlled by a single scalar parameter, that can be varied to produce the optimal Wiener filter weights or the decision-feedback filter weights. An advantage of the regularized filter is that the weight error surface is quadratic, leading to well behaved convergence properties for adaptive implementations. Simulation results are presented which compare the regularized filter to the optimal Wiener filter and the decision-feedback filter.

引用

页码：53 / 67

页数：14

共 17 条

[1]

Milstein L., Interference rejection techniques in spread spectrum communications, Proceedings of the IEEE, 76, pp. 657-671, (1988)

[2]

Milstein L., Interference suppression to aid acquisition in direct-sequence spread-spectrum communication, IEEE Transactions on Communications, 36, pp. 1200-1207, (1988)

[3]

Mammone R., Computational Methods of Signal Recovery and Recognition, (1992)

[4]

Milstein L., Iltis R., Signal processing for interference rejection in spread spectrum communications, IEEE Acoustics, Speech, and Signal Processing Magazine, 3, pp. 18-31, (1986)

[5]

Takawira F., Milstein L., Narrowband interference rejection in PN spread spectrum systems using decision feedback filters, Prooceedings of IEEE Military Communications Conference, pp. 2041-2045, (1986)

[6]

Ketchum J., Proakis J., Adaptive algorithms for estimating and suppressing narrowband interference in PN spread spectrum systems, IEEE Transactions on Communications, COM-30, pp. 913-923, (1982)

[7]

Iltis R., Milstein L., An approximate statistical analysis of the widrow LMS algorithm with application to narrowband interference rejection, IEEE Transactions on Communications, COM-33, (1985)

[8]

Hsu F., Giordano A., Digital whitening techniques for improving spread spectrum communications performance in the presence of narrowband jamming and interference, IEEE Transactions on Communications, COM-26, (1978)

[9]

Li L., Milstein L., Rejection of narrowband interference in PN spread spectrum systems using transversal filters, IEEE Transactions on Communications, COM-30, (1982)

[10]

Saulnier G., Yum K., Das P., The suppression of tone jammers using adaptive lattice filtering, Proceedings of the IEEE International Conference on Communications, (1987)

← 1 2 →