TY - JOUR
T1 - Weak radar signal detection based on wavelet transform
AU - Ehara, Naoki
AU - Sasase, Iwao
AU - Mori, Shinsaku
PY - 1994
Y1 - 1994
N2 - Weak signal detection is a basic and important problem in radar systems. The detectable radar range is determined by the radar equation, and radar performance can be improved by increasing the receiver output signal‐to‐noise ratio (SNR). The pulse integration method has been used to improve SNR. The new method proposed here, based on wavelet transform, has been used primarily for data compression in image processing. Since wavelet transform performs signal analysis using the wavelets that are localized in both time and frequency domains, better results are expected than would be expected if the conventional method of pulse integration in time domain is used. Using numerical simulations that assume white Gaussian noise is generated internally in the receiver, we show that an improvement of approximately 8 dB in SNR is obtained for only one pulse and high performance radar can be obtained using this method. This method can also be applied for signal detection in other digital communications.
AB - Weak signal detection is a basic and important problem in radar systems. The detectable radar range is determined by the radar equation, and radar performance can be improved by increasing the receiver output signal‐to‐noise ratio (SNR). The pulse integration method has been used to improve SNR. The new method proposed here, based on wavelet transform, has been used primarily for data compression in image processing. Since wavelet transform performs signal analysis using the wavelets that are localized in both time and frequency domains, better results are expected than would be expected if the conventional method of pulse integration in time domain is used. Using numerical simulations that assume white Gaussian noise is generated internally in the receiver, we show that an improvement of approximately 8 dB in SNR is obtained for only one pulse and high performance radar can be obtained using this method. This method can also be applied for signal detection in other digital communications.
KW - Radar
KW - signal detection
KW - signal‐to‐noise ratio
KW - wavelet transform
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U2 - 10.1002/ecjc.4430770810
DO - 10.1002/ecjc.4430770810
M3 - Article
AN - SCOPUS:0028493465
VL - 77
SP - 105
EP - 114
JO - Electronics and Communications in Japan, Part III: Fundamental Electronic Science (English translation of Denshi Tsushin Gakkai Ronbunshi)
JF - Electronics and Communications in Japan, Part III: Fundamental Electronic Science (English translation of Denshi Tsushin Gakkai Ronbunshi)
SN - 1042-0967
IS - 8
ER -