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A time-of-arrival (TOA) measurements-based tracking method for passive bistatic radar (PBR) in the presence of glint noise is proposed. To improve the TOA-based tracking precision in glint, an improved particle filter (PF) based on differential evolution algorithm is used for target tracking. It is shown that the proposed method can improve the tracking precision of PBR in glint noise compared with...
Group delay (GD), the negative derivative of Fourier Transform phase, is regarded as a good tool for spectral estimation in additive noise, for its sharp peak and high resolution. However, as far, GD has not been utilized in the case involving complex noises. In this paper, a novel GD is proposed to the time-varying cumulants of harmonics in complex noises, termed as CGD. A simple and practical algorithm...
In passive coherent radar tracking using external illuminator as transmitters, the traditional extended Kalman filter (EKF) is adopted frequently, but the tracking performance is affected seriously by the glint noise in practice. To solve this problem, a novel passive coherent radar tracking method is proposed based on particle filter (PF) and only time difference of arrival (TDOA) measurements. This...
In order to optimize signal detection in non-Gaussian environments, the work is addressed to provide realistic modeling of a generic noise probability density. The model depends on few parameters which can be estimated quickly and easily, and so general to be able to describe many kinds of noise such as symmetric or asymmetric. To this end, a new model is introduced, which derives from the generalized...
To automatically register foreground target in cluttered images, we present a novel hierarchical graph representation and a stochastic computing strategy in Bayesian framework. The graph representation, which contains point-(image primitives), seedgraph-, and subgraph- three levels, are built up following the primal sketch theory to capture geometric, topological, and spatial information both in local...
A novel approach for frequency estimation of one-dimensional harmonics in multiplicative and additive noises is presented. To alleviate the resolution limitation of the traditional cumulant-based algorithms, group delay (GD) function is utilized. In this new approach, GD is applied to the 2nd order time-varying cumulants of harmonics in complex noises, called as the 2nd order CGD. For a given frequency...
The two-dimensional (2-D) harmonic retrieval method in multiplicative and additive noise based on 2-D chirp z-transform (CZT) is discussed in this paper. Unlike 2-D FFT, the 2-D CZT can improve the spectral resolution without increasing the size of the observation data and fine the spectra of 2-D harmonics in multiplicative and additive noise. Hence, the resolution and accuracy of the 2-D harmonic...
The problem of two-dimensional (2D) harmonics retrieval in the presence of correlative zero-mean multiplicative and additive noise was presented. We propose a genetic algorithm (GA)-based approach to this problem. Firstly, we defined a special 2D slice of sixth-order time-average moment spectrum, which has peaks value at the harmonics frequencies. Second, we converted the problem of harmonics retrieval...
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