Browse > Article

On Adaptive Narrowband Interference Cancellers for Direct-Sequence Spread-Spectrum Communication Systems  

장원석 (모토로라 코리아)
이재천 (아주대학교 시스템공학과)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.28, no.10C, 2003 , pp. 967-983 More about this Journal
Abstract
In wireless spread-spectrum communication systems utilizing PN (pseudo noise) sequences, a variety of noise sources from the channel affect the data reception performance. Among them, in this paper we are concerned with the narrowband interference that may arise from the use of the spectral bands overlapped by the existing narrowband users or the intentional jammers as in military communication. The effect of this interference can be reduced to some extent at the receiver with the PN demodulation by processing gain. It is known, however, that when the interferers are strong, the reduction cannot be sufficient and thereby requiring the extra use of narrowband interference cancellers (NIC's) at the receivers. A class of adaptive NIC's are studied here based on different two cost functions. One is the chip mean-squared error (MSE) computed prior to the PN demodulation and used in the conventional cancellers. Since thses conventional cancellers should be operated at the chip rate, the computational requirements are enormous. The other is the symbol MSE computed after the PN demodulation in which case the weights of the NIC's can be updated at a lot lower symbol rate. To compare the performance of these NIC's, we derive a common measure of performance, i.e., the symbol MSE after the PN demodulation. The analytical results are verified by computer simulation. As a result, it is shown that the cancellation capability of the symbol-rate NIC's are similar or better than the conventional one while the computational complexity can be reduced a lot.
Keywords
Narrowband Interference Canceller; NIC; DSSS;
Citations & Related Records
연도 인용수 순위
  • Reference
1 J. C. Lee and W. Jang, 'Optimum demodulation of PN spread spectrum signals in the presence of narrowband interference,' IEE Etectronics Letters, vol. 32, pp. 178-179, Feb. 1996   DOI   ScienceOn
2 S. Hara, H. Masutani and T. Matsuda, 'Filter Bank-Based Adaptive Interference Canceler for Co-Existence Problem of TDMA/CDMA Systems,', 1999
3 L. B. Milstein and R. A. Iltis, 'Signal processing for interference rejection in spread spectrum communications,' IEEE ASSP Mag., pp 18-31, Apr. 1986
4 M. A. Hasan, J. C. Lee, and V, K. Bhargava, 'A narrowband interference canceller with an adjustable center weight,' IEEE Trans. Commun., vol. C0M-42, PP. 877-880, Apr. 1994
5 L. M. Li and L. B. Milstein, 'Rejection of narrow band interference in PN spread spectrum systems using transversal filters,' IEEE Trans. Commun., vol. C0M-30, pp. 925-928, May 1982
6 B. Widrow and S. Steams, Adaptive Signal Processing. Englewood Cliffs, NJ: Prentice-Hall, 1985
7 L. B. Milstein, 'Interference rejection techniques in spread spectrum communications,' Proc. IEEE, vol. 76, pp. 657-671, June 1988   DOI   ScienceOn
8 J. C. Lee, M. A. Hasan and V, K. Bhargava, 'Data-aided cancellation of narrowband interferences in data transmission systems,' accepted for presentation in COMCONEL '91, Egypt
9 B. Widrow, J. R. Glover, J. M. Mccool, J. Kaunitz, C. S. Williams, R. H. Heam, J. R. Zeidler, E. Dong, and R. C. Goodlin,, 'Adaptive noise cancelling: principles andapplications,' Proc. IEEE, vol. 63, pp. 1692-1716, Dec. 1975   DOI   ScienceOn
10 B. Widrow, J. M. Mccool, M. G. Larimore, and C. R. Johnson, 'Stationary and nonstationary learning characteristics of the LMS adaptive filter,' Proc. IEEE, vol. 64, Pp. 1151-1162, Aug. 1976   DOI   ScienceOn
11 M. C. Jeruchim, P. Balaban, and K. S. Shanmugan, Simulation of Communication System. New York: Plenum, 1992