DocumentCode :
2548124
Title :
FPGA Implementation of the Ternary Pulse Compression Sequences with Good Discrimination Factor Values
Author :
Balaji, N. ; Rao, K. Subba ; Rao, M. Srinivasa
Author_Institution :
VNRVJIET, Hyderabad
Volume :
2
fYear :
2009
fDate :
22-24 Jan. 2009
Firstpage :
353
Lastpage :
357
Abstract :
Ternary codes have been widely used in radar and communication areas, but the synthesis of ternary codes with good discrimination factor is a nonlinear multivariable optimization problem, which is usually difficult to tackle. To get the solution of above problem many global optimization algorithms like genetic algorithm, simulated annealing, and tunneling algorithm were reported in the literature. However, there is no guarantee to get global optimum point. In this paper, a novel and efficient VLSI architecture is proposed to design Ternary Pulse compression sequences with good discrimination factor. The VLSI architecture is implemented on the field programmable gate array (FPGA) as it provides the flexibility of reconfigurability and reprogramability. The implemented architecture overcomes the drawbacks of non guaranteed convergence of the earlier optimization algorithms.
Keywords :
VLSI; field programmable gate arrays; genetic algorithms; pulse compression; radar computing; simulated annealing; ternary codes; FPGA; VLSI architecture; communication areas; discrimination factor values; field programmable gate array; genetic algorithm; global optimization; nonlinear multivariable optimization; radar areas; simulated annealing; ternary codes; ternary pulse compression sequences; tunneling algorithm; Autocorrelation; Convergence; Field programmable gate arrays; Genetic algorithms; Pulse compression methods; Pulse generation; Radar applications; Signal processing algorithms; Spread spectrum radar; Very large scale integration; FPGA.; Merit Factor; Pulse compression; Sidelobe energy; Ternary sequence; VLSI architecture;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Engineering and Technology, 2009. ICCET '09. International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-3334-6
Type :
conf
DOI :
10.1109/ICCET.2009.222
Filename :
4769621
Link To Document :
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