Abstract
Design of orthogonal code sets with correlation properties can effectively improve the radar performance by transmitting specially designed orthogonal Multiple Input Multiple Output (MIMO) radar. A novel particle swarm algorithm is proposed to numerically design orthogonal Discrete Frequency Waveforms and Modified Discrete Frequency Waveforms (DFCWs) with good correlation properties for MIMO radar. We employ Accelerated Particle Swarm Optimization algorithm (ACC_PSO), Particles of a swarm communicate good positions, velocity and accelerations to each other as well as dynamically adjust their own position, velocity and acceleration derived from the best of all particles. The simulation results show that the proposed algorithm is effective for the design of DFCWs signal used in MIMO radar.
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
Fishler, E., Haimovich, A., Blum, R., Cimini, L., Chizhik, D., Valenzuela, R.: MIMO radar: An idea whose time has come. In: Proceedings of IEEE International Radar Conference, Philadelphia, PA (April 2004)
Liu, B., He, Z., Li, J.: Mitigation of Autocorrelation sidelobe peaks of Orthogonal Discrete Frequency-Coding waveform for MIMO Radar. In: Proceedings of IEEE Radar Conference, China, Chengdu, pp. 1–6 (2008)
Deng, H.: Discrete Frequency-Coding Waveform Design for netted Radar Systems. IEEE Signal Processing Letters 11(2), 179–182 (2004)
Liu, B., He, Z.: Orthogonal Discrete Frequency-Coding waveform for MIMO Radar. Spinger Link Journal of Electronics (China)Â 25(4) (July 2008)
Kobayashi, T., Nakagawa, K., Imae, J., Zhai, G.: Real Time Object tracking on Video Image Sequence using Particle Swarm Optimization. In: International Conference on Control, Automation and Systems, Seoul, Korea, pp. 1773–1778 (2007)
Deng, Y., Tong, H.: Dynamic Shortest path in stochastic Traffic networks baed on fluid neural network and particle swarm optimization. In: Internal Conference on Natural Computation (ICNC), Yantai Shandong, pp. 2325–2329 (2010)
Bo, Z., Zhen, D., Nong, L.D.: Design and performance analysis of Orthogonal coding design in MIMO SAR. The Journal Science China, Information Science 54(8), 1723–1737 (2011)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag GmbH Berlin Heidelberg
About this paper
Cite this paper
Roja Reddy, B., Uttara Kumari, M. (2012). Generation of Orthogonal Discrete Frequency Coded Waveform Using Accelerated Particle Swarm Optimization Algorithm for MIMO Radar. In: Wyld, D., Zizka, J., Nagamalai, D. (eds) Advances in Computer Science, Engineering & Applications. Advances in Intelligent and Soft Computing, vol 166. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30157-5_2
Download citation
DOI: https://doi.org/10.1007/978-3-642-30157-5_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-30156-8
Online ISBN: 978-3-642-30157-5
eBook Packages: EngineeringEngineering (R0)