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- W2382296169 abstract "Quantization noise from fixed-point processing and limited word length storage affect real-time imaging and system miniaturization in spaceborne synthetic aperture radar(SAR) imaging processors. A quantization error model was developed for fixed-point SAR processing using the well-known chirp scaling(CS) algorithm. The expression of noise-to-signal(NSR),system word length,and FFT length was deduced.Test images from the raw Radarsat-I data were then analyzed using the fixed-point CS algorithm with various system word lengths.The image quatilities are consistent with theoretical values. The analysis shows that the key parameters,such as the system word length,of fixed-point SAR imaging proessors may be determined by calculating the total NSR of the system outputs." @default.
- W2382296169 created "2016-06-24" @default.
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- W2382296169 date "2007-01-01" @default.
- W2382296169 modified "2023-09-23" @default.
- W2382296169 title "Quantization noise anlysis of fixed-point CS algorithm for SAR" @default.
- W2382296169 hasPublicationYear "2007" @default.
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