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Computer simulation study of MTI using FFT and nonlinear processors

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TLDR
An analysis of a digital moving target indicator (DMTI) using the traditional fast Fourier transform (FFT) and the recently developed nonlinear spectral estimation techniques is presented, and it clearly shows the superiority of the non linear spectral estimation methods, especially for short data lengths.
Abstract
An analysis of a digital moving target indicator (DMTI) using the traditional fast Fourier transform (FFT) and the recently developed nonlinear spectral estimation techniques is presented. The performance evaluation has been done using simulated target and clutter models in the presence of white Gaussian noise. MTI improvement factor has been computed for all the cases, and it clearly shows the superiority of the nonlinear spectral estimation methods, especially for short data lengths. >

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Patent

Apparatus and methods for moving target indicator simulation

TL;DR: In this paper, a moving target simulator system for pulse Doppler radar includes a processor for processing received radar signal and transforming the signal into patterned pulses before subjecting the patterns to an 180 degree phase shift by a phase shifter.
References
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Stochastic modelling of radar returns

TL;DR: In this paper, the authors considered the stochastic modeling of radar returns and modelled the returns from a typical airport surveillance radar (ASR) system as autoregressive-moving average (ARMA) processes.
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