DocumentCode :
3300426
Title :
Field programmable gate array based radar front-end digital signal processing
Author :
Moeller, Tyler J. ; Martinez, David R.
Author_Institution :
Lincoln Lab., MIT, Lexington, MA, USA
fYear :
1999
fDate :
1999
Firstpage :
178
Lastpage :
187
Abstract :
As Field programmable Gate Array (FPGA) technology has steadily improved, FPGAs are now viable alternatives to other technology implementations for high-speed classes of digital signal processing (DSP) applications. In particular, radar front-end signal processing, an application formerly dominated by custom very large scale integration (VLSI) chips, may now be a prime candidate for migration to FPCA technology. As this paper demonstrates, current FPGA devices have the power and capacity to implement a FIR filter with the performance and specifications of an existing, in-system, front-end signal processing custom VLSI chip. A 512-tap, 18-bit FIR filter was built that could achieve sample rates of 5 MHz (with a clock rate of at least 40 MHz) using Xilinx Virtex FPGA technology, and was demonstrated through simulation. Distributed arithmetic was determined to be the most optimal structure for a FPGA FIR design, although future research may show that fast FIR algorithms or filtering in the frequency domain might give better results
Keywords :
field programmable gate arrays; radar signal processing; reconfigurable architectures; FIR filter; FPGA devices; Field programmable Gate Array; radar front-end signal processing; Arithmetic; Array signal processing; Clocks; Digital signal processing chips; Field programmable gate arrays; Finite impulse response filter; Radar applications; Radar signal processing; Signal processing; Very large scale integration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Field-Programmable Custom Computing Machines, 1999. FCCM '99. Proceedings. Seventh Annual IEEE Symposium on
Conference_Location :
Napa Valley, CA
Print_ISBN :
0-7695-0375-6
Type :
conf
DOI :
10.1109/FPGA.1999.803679
Filename :
803679
Link To Document :
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