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This paper presents an effective metric to evaluate different kinds of low probability of interception (LPI) waveforms. Based on the common view that white noise is the best LPI waveform, the method introduced in this paper first use the asymptotic spectral distribution of Wigner matrix as the property of white noise and use the spectral distribution of the normalized sample covariance matrix as the...
In radars, complex signals arise naturally as a result of a quadrature demodulation or Fourier transform. Also, the Doppler spectrum is not an even function of frequency and the Doppler signal is thus naturally complex. Random complex radar signals used to be automatically assumed to be circular. As a result, most of signal processing algorithms (such as detection and estimation) were derived for...
We consider the problem of detecting a signal of interest in the presence of compound-Gaussian clutter, without resorting to secondary data in order to infer the clutter covariance matrix. Towards this end, we assume that both the texture τ and the speckle covariance matrix R are random variables with some a priori distributions. Marginalizing with respect to these variables, the probability density...
The adaptive detection of range-spread targets in non-Gaussian clutter is addressed. The clutter is modeled as spherically invariant random vector. After the sample covariance matrix based on secondary data, is inserted, in place of the true normalized covariance matrix, into the test, two adaptive detectors are derived, which are called as ANSDD-GLRT and ASDD-GLRT. The constant false alarm rate property...
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