Patent ID: 6628844
Filing Date: 2003-09-30
Classification: G01S

Abstract:
A method of processing image data to produce a high definition image, comprising the steps of:receiving the image data and processing the data to transform the data to the frequency domain and provide frequency domain data indicative thereof; and adaptively processing the frequency domain data using a constrained maximum likelihood estimate method to iteratively compute the high definition image, wherein the image I is expressed in range and cross-range as I(r,c)=min &ohgr;H R&ohgr;, where &ohgr; is a weighting vector and R is a covariance matrix of the frequency domain data, wherein the solutions for I(r,c)=min &ohgr;H R&ohgr; are constrained during said adaptive processing to take on solutions which satisfy the following constraints i) &ohgr;HV(r,c)=1, where V is a steering vector, ii) &par;&ohgr;&par;2&lE;&bgr; where &bgr; is a constant and iii) &ohgr;=V+&egr; which prevents a first angle between said weighting vector &ohgr; and a span defined by the frequency domain data from exceeding a second angle between V(r,c) and the span defined by said frequency domain data.