Title :
Radar processing gain improvement over frequency using the discrete wavelet transform
Author :
Noonan, Joseph P. ; Marquis, David A.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Tufts Univ., Medford, MA, USA
fDate :
1/1/1999 12:00:00 AM
Abstract :
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
Keywords :
discrete wavelet transforms; fast Fourier transforms; matched filters; radar detection; radar signal processing; radar theory; AWGN; Daubechies wavelet; FFT output; Hamming weighting; SNR; binary integration; detection probability; discrete wavelet transform; matched filter; nonoptimum input signals; optimum receiver; radar processing gain improvement; radar signals; random arrival time; random frequency; random phase; range-gated fast Fourier transform; Bismuth; Discrete Fourier transforms; Discrete transforms; Discrete wavelet transforms; Fast Fourier transforms; Frequency; Radar detection; Radar signal processing; Signal processing; Signal to noise ratio;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on