Abstract
High resolution radar techniques are applied to the problem of resolving a multiple target array and locating its geometric center without the usual biasing toward the brightest scatterer. This result is accomplished using monopulse radar techniques combined with high resolution stepped frequency pulse train signal processing in an angle tracking noncoherent high resolution radar. The center of each uniquely separated pair of point targets is calculated by examining the crosscorrelation function of the sum and difference channels. The autocorrelation of the sum channel is used to normalize the crosscorrelation data thereby eliminating the effects of the different targets’ radar cross sections (RCS). The zero separation term of the error function (dc term) remains biased toward the bigger scatterer, even after normalization. The nonzero terms (ac terms) are the cross range distances from the antenna’s boresight to each scatterer and are independent of their RCS. By simply dropping the zero separation term and averaging the remaining terms together, the aimpoint becomes the unbiased geometric center of the array.
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