New detector in ultra short pulse radar

In this paper, we provide a new approach in ultra short pulse or ultra Wideband (UWB) radars based on a Fourier series with time-varying coefficients resulting in a second-order cyclostationary characteristics for low-mobility target and almost cyclostationary characteristics in moving target scenario. We also provide a new method for detection based on detecting the presence of cyclostationarity in a blind scenario. The new MMSE estimator is based on the unconditional orthonormal signal representation for almost cyclostationary characteristics, moreover, based on this estimation, a new method for detection of UWB radar signals in presence of Gaussian and non-Gaussian noise in low-mobility and moving target scenario is provided. We utilize the discrete prolate spheroidal sequences (DPSS) as the orthonormal signals. The purposed methods require just pulse repetition interval, to detect signal of interest. Simulations are presented to compare the introduced new method with cyclostationary detector and the conventional ultra short pulse radar detectors which is named interleaved periodic correlation processing (IPCP).