Abstract
We formulate the narrowband jammer excision as an optimization problem and present a new algorithm that is based on Particle Swarm Optimization (PSO). In this paper particle positions represent the filter weights and particle velocity represents the updating increment of the weighting matrix. Simulation and numerical results show that PSO based algorithm is a feasible approach for jammer excision. It approaches the optimum performance in fewer iterations with lower complexity. The performance improvement is shown by plotting the Bit Error Rate (BER) as a function of Signal to Interference and Noise Ratio (SINR).
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Papandreou-Suppapola, A.: Applications in Time-Frequency Signal Processing. CRC press, Tempe, Arizona (2003)
Amin, M., Wang, C., Lindsey, A.: Optimum Interference Mitigation in Spread Spectrum Communications using Open Loop Adaptive Filters. IEEE Transactions on Signal Processing 47(7), 1966–1976 (1999)
Lach, S., Amin, M.G., Lindsey, A.: Broadband Non-stationary Interference Excision in Spread Spectrum Communication System using Time Frequency Synthesis Techniques. IEEE journal on selected Areas in communications (1999)
Laster, J.D., Reed, J.H.: Interference Rejection in Digital wireless Communications. IEEE Signal Processing Magazine 14(3), 37–62 (1997)
Proakis, J.G.: Interference suppression in spread spectrum systems. In: Proceedings of 4th IEEE International Symposium on Spread Spectrum Techniques and Applications, vol. 1, pp. 259–266 (1996)
Li, L.M., Milstein, L.B.: Rejection of narrowband interference in PN spread spectrum systems using transversal filters. IEEE Trans. Communications COM-30, 925–928 (1982)
Theodoridis, S., Kalouptsidis, N., Proakis, J., Koyas, G.: Interference Rejection in PN Spread-Spectrum Systems with LS Linear Phase FIR Filters. IEEE Transactions on Communications 37(9) (1989)
Medley, M.J., Saulnier, G.J., Das, P.K.: Narrow-Band Interference Excision in Spread Spectrum Systems Using Lapped Transforms. IEEE Trans. Communications 45(11) (1997)
Shin, D.C., Nikias, C.L.: Adaptive Interference Canceller for Narrowband and Wideband Interference Using Higher Order Statistics. IEEE Trans. Signal Processing 42(10), 2715–2728 (1994)
Rusch, L.A., Poor, H.V.: Narrowband Interference Suppression in CDMA Spread Spectrum Communications. IEEE Trans. Commun. 42(234) (1994)
Duklc, H.L., DobrosavlJevic, Z.S., StoJanovlc, Z.D., Stojanovlc, I.S. (eds.): Rejection Of Narrowband Interference in DS Spread Spectrum Systems Using Two-Stage Decision Feedback Filters. IEEE, Los Alamitos (1994)
Ketchum, J.W., Proakis, J.G.: Adaptive Algorithms for: Estimating and Suppressing Narrow-Band Interference in PN Spread-Spectrum Systems. IEEE Transactions on Communications [legacy, pre - 1988] 30(5), part 2, 913–924 (1982)
Bijjani, R., Das, P.K.: Rejection Of Narrowband Interference In PN Spread-Spectrum Systems Using Neural Networks. In: Global Telecommunications Conference, and Exhibition. Communications: Connecting the Future, GLOBECOM 1990, vol. 2, pp. 1037–1041. IEEE, Los Alamitos (1990)
Taijie, L., Guangrui, H., Qing, G.: Interference Rejection in Direct-Sequence Spread Spectrum Communication Systems Based on Higher-Order Statistics and Genetic Algorithm. In: Proceedings of 5th International Conference on Signal Processing, vol. 3, pp. 1782–1785 (2000)
Kennedy, J., Eberhart, R.C.: Particle Swarm Optimization. In: Proceedings of International Conference on Neural Networks, Perth Australia, pp. 1942–1948. IEEE Service Center, Piscataway (1995)
Kennedy, J., Eberhart, R., Shi, Y.: Swarm Intelligence. Morgan Kaufmann Academic Press, San Francisco (2001)
Kennedy, J.: The Particle Swarm: Social Adaptation of Knowledge. In: Proceedings of the IEEE International Conference on Evolutionary Computation, pp. 303–308 (1997)
Kennedy, J., Eberhart, R.C.: A binary version of particle swarm optimization algorithm. In: Proceedings of Systems Man and Cybernetics (SMC 1997), pp. 4104–4105 (1997)
Yoshida, H., Fukuyama, Y., Kwata, K., Takayama, S., Nakanishi, Y.: A particle swarm optimization for reactive power and voltage control considering voltage security assessment. IEEE Transaction on power systems 15 (2001)
Krusienski, D.J., Jenkins, W.K.: Adaptive Filtering via Particle Swarm Optimization. In: Proc. of the 37th Asilomar Conf. on Signals, Systems, and Computers (2003)
Krusienski, D.J., Jenkins, W.K.: Particle Swarm Optimization for Adaptive IIR Filter Structures. In: Proc. of the 2004 Congress on Evolutionary Computation (2004)
Shi, Y., Eberhart, R.: Empirical Study of Particle Swarm Optimization. In: Proceedings of the Congress on Evolutionary Computation, pp. 1945–1950 (1999)
Higham, N.J.: Accuracy and stability of numerical algorithms. SIAM, USA (1996)
Householder, A.S.: The theory of matrices in numerical analysis. Dover Publications, USA (1974)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Zaka, I., Rehman, H.u., Naeem, M., Shah, S.I., Ahmad, J. (2008). Narrowband Jammer Excision in CDMA Using Particle Swarm Optimization. In: Huang, DS., Wunsch, D.C., Levine, D.S., Jo, KH. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues. ICIC 2008. Lecture Notes in Computer Science, vol 5226. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87442-3_75
Download citation
DOI: https://doi.org/10.1007/978-3-540-87442-3_75
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-87440-9
Online ISBN: 978-3-540-87442-3
eBook Packages: Computer ScienceComputer Science (R0)