Abstract

One of the critical issues concerning the industries of aerospace and Defence is the accuracy and precision levels of the possible range resolution. And equally important is the detection of the signal in the presence of noisy environments. Signal-to-Noise ratio is one such measure that ensures enhancement of target detection in tough environments. Besides this, high range resolution is also essential for the digital receiver to identify closely spaced multiple targets. The projected digital receiver design primarily highlights the possibility of pulse compression techniques combined with linear frequency modulation and non-linear frequency modulation waveforms for refining the range resolution of targets compared to their counterpsrts, the traditional waveforms. The range resolution and detection enhancement using the advanced signal processing techniques in the presence of noisy environments have been presented with evidence from the simulations accomplished in MATLAB. The ability of the pulse compression waveform to perform in the presence of noise has been tested. Further, this paper presents the minimum signal to noise ratio of the received echo signal for achieving the required range resolution with MATLAB simulations. The paper also includes further plan of work to make this design more robust as an adaptable receiver for industrial applications.

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