The range-gated fast Fourier transform (FFT) is the most common implementation of the optimum receiver for radar signals having random phase, frequency, and arrival time. In practice, the receiver is only optimum for input signals with frequency equal to an FFT bin frequency. Here the discrete wavelet transform (DWT) is applied to the FFT output to recover processing gain (PG) lost for nonoptimum input signals. Since the FFT and FFT-DWT have optimum performance for different input frequencies, these algorithms can be combined by binary integration (BI) to result in a dramatically improved worst case PG over frequency.
Radar processing gain improvement over frequency using the discrete wavelet transform
IEEE Transactions on Aerospace and Electronic Systems ; 35 , 1 ; 363-368
1999-01-01
508467 byte
Article (Journal)
Electronic Resource
English
Radar SCR improvement using a wavelet transform
AIAA | 2000
|Hybrid discrete cosine transform-discrete wavelet transform for progressive image compression
British Library Online Contents | 2012
|Knock signal analysis using the discrete wavelet transform
Automotive engineering | 2006
|Knock Signal Analysis Using the Discrete Wavelet Transform
SAE Technical Papers | 2006
|