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Abstract
In this paper a Modified Simulated Annealing Algorithm (MSAA) is proposed as a statistical technique for obtaining approximate solutions to combinatorial optimization problems. The proposed algorithm is a combination of Simulated annealing and Hamming scan algorithm. It is used to design polyphase sequence sets which have good autocorrelation and cross correlation properties. Some of the synthesized results are presented, and the properties of the sequence sets are shown to be better than other sequence sets known in the literature. The synthesized polyphase sequence sets are promising for practical application to orthogonal netted radar systems/multiple radar systems. The convergence rate of the algorithm is also shown to be good.
Additional information
Notes on contributors
S P Singh
S P Singh was Born in Ghaziabad (UP), India in 1965. He received Graduation Degree from IE(I) and Master’s Degree from Osmania University. He worked for 18 years in the field of Radar Maintenance. Presently he is working as Associate Professor, Mahatma Gandhi Institute of Technology, Hyderabad, India. He has published 17 research papers in journals/conferences. His current interests are Radar Signal Design and Digital Signal Processing.
K Subba Rao
K Subba Rao has Graduated from S V University, Tirupati, India. He obtained the Master‘s and Ph.D degree from Osmania University (OU), India. He Joined Osmania University in 1981 as lecturer and currently he is working as Head of Department. He has published 35 research papers in journals/conferences. His current interests include Signal Design for Radar and Spread spectrum applications and Bio Medical Signal Processing.
