Fuzzy modelling for discrimination and merit factor of radar signals for range resolution

Authors:
P. Sri Hari;P. Rajesh Kumar;D. Tirumal Rao;K. Raja Rajeswari
Affiliations:
Dadi Institute of Engineering and Technology, Anakapalle, India;Dept. of ECE, College of Engineering, Andhra University, Visakhapatnam, India;Dept. of ECE, College of Engineering, Andhra University, Visakhapatnam, India;Department of ECE, GMRIT, Rajam, Sreekakulam(Dt.), India
Venue:
MUSP'07 Proceedings of the 7th WSEAS International Conference on Multimedia Systems & Signal Processing
Year:
2007

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Abstract

The coded waveforms like binary Barker, ternary, quinquenary and Costas find their applications in radar. The best sequences are binary sequences. But binary Barker codes are not known to exist beyond length 13. However, ternary sequences exist with Barker autocorrelation for length beyond 13. Several sieves are available for generating larger length binary, ternary sequences, viz., skew symmetry, terminal admissibility and so on. Evolutionary algorithm plays an important role for generating good offspring at larger lengths. In this paper, we proposed fuzzy modeling approach for the offspring obtained by evolutionary algorithm.