Radar Signal Processing by Wavelet Transform : Suppression of Sea Clutter
نویسندگان
چکیده
منابع مشابه
Radar Signal Detection in K-distributed Clutter by Pade Approximation
In this paper, two suboptimum detectors are proposed for coherent radar signal detection in K-distributed clutter. Assuming certain values for several initial moments of clutter amplitude, the characteristic function of the clutter amplitude is approximated by a limited series. Using the Pade approximation, it is then converted to a rational fraction. Thus, the pdf of the clutter amplitude is o...
متن کاملRadar Signal Detection in K-distributed Clutter by Pade Approximation
In this paper, two suboptimum detectors are proposed for coherent radar signal detection in K-distributed clutter. Assuming certain values for several initial moments of clutter amplitude, the characteristic function of the clutter amplitude is approximated by a limited series. Using the Pade approximation, it is then converted to a rational fraction. Thus, the pdf of the clutter amplitude is o...
متن کاملNonlinear processing of high resolution radar sea clutter
Surveillance radars used at sea need to suppress the signal received back from the sea surface, in order to improve the probability of detecting target signals. This paper investigates whether nonlinear predictor networks can be used to improve the suppression of sea clutter, and thus to improve the performance of maritime surveillance radar detectors.
متن کاملRobust adaptive signal processing methods for heterogeneous radar clutter scenarios
This paper addresses the problem of radar target detection in severely heterogeneous clutter environments. Speci0cally, we present the performance of the normalized matched 0lter test in a background of disturbance consisting of clutter having a covariance matrix with known structure and unknown scaling plus background white Gaussian noise. It is shown that when the clutter covariance matrix is...
متن کاملComplex Wavelet Transform for Analog Signal Processing
For signal processing, the Wavelet transform (WT) has been shown to be a very promising mathematical tool. WT is efficient for local analysis of nonstationary and fast transient signals due its good estimation of time and frequency localization. In the complex wavelet transform analysis, the modulus maxima and the ± π/2 phase crossings point out the locations of sharp signal transitions. The ph...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The Journal of Japan Institute of Navigation
سال: 1994
ISSN: 0388-7405,2187-3275
DOI: 10.9749/jin.90.33