DocumentCode :
2964155
Title :
High-performance low-power polyphase channelizer chip-set
Author :
Song, William S. ; Vai, Michael M. ; Nguyen, Huy T. ; Horst, Albert H.
Author_Institution :
Lincoln Lab., MIT, Lexington, MA, USA
Volume :
2
fYear :
2000
fDate :
Oct. 29 2000-Nov. 1 2000
Firstpage :
1691
Abstract :
A very-high-performance ultra-low-power signal processor chip-set has been developed for wideband adaptive radar and communications applications. The chip-set consists of a polyphase filter chip and a fast Fourier transform (FFT) chip. The chip-set performs polyphase channelization, which channelizes wideband digital data into multiple narrow subbands. The subsequent signal processing tasks such as adaptive beamforming, pulse compression, and space-time adaptive processing (STAP) are performed in the subband domain to mitigate dispersion effects. The power efficiency is achieved through highly optimized VLSI bit-level semi-systolic array technology. The chip-set was fabricated on a 0.25 micron bulk silicon CMOS process with the total two-chip die area of 1.6 square centimeters. The chip-set performs 54 billion arithmetic operations per second on 1.3 watts of power with 41 billion operations per second per watt power efficiency.
Keywords :
VLSI; adaptive radar; array signal processing; digital signal processing chips; fast Fourier transforms; low-power electronics; space-time adaptive processing; systolic arrays; 0.25 micron; 1.3 W; VLSI bit-level semi-systolic array technology; adaptive beamforming; arithmetic operations; die area; fast Fourier transform; low-power polyphase channelizer chip-set; multiple narrow subbands; pulse compression; signal processor chip-set; space-time adaptive processing; wideband adaptive radar; wideband digital data; Adaptive signal processing; Array signal processing; Fast Fourier transforms; Filters; Pulse compression methods; Radar applications; Radar signal processing; Signal processing; Ultra wideband communication; Ultra wideband radar;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 2000. Conference Record of the Thirty-Fourth Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
ISSN :
1058-6393
Print_ISBN :
0-7803-6514-3
Type :
conf
DOI :
10.1109/ACSSC.2000.911277
Filename :
911277
Link To Document :
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