Longfei Shi

Polarimetric Target Detection Using Statistic of the Degree of Polarization

The degree of polarization (DoP) can be utilized as a detection statistic in the polarimetric radar to achieve target detection performance improvement. In this paper, a polarimetric radar model is established, which includes reflections from both target and clutter at first. Then, probability density functions (PDFs) of the estimated DoP are expressed in closed form, which is derived from joint eigenvalue distributions of complex noncentral Wishart matrices. The detector is developed and evaluated theoretically on the basis of the statistical properties of the DoP. Finally, a comparison between the new DoP detector and single-polarization detector is presented against real data. The performance improvement is demonstrated by the comparison results.

Application of nonlinear polarization vector translation in radar anti-jamming

Nonlinear polarization vector translation (PVT) is applied in the area of radar anti-jamming in this paper. The processes of real number type and ratio type diagonal matrix PVT are analyzed, pointing out their deficiencies in polarization states separation of the target and jamming. Then exponential diagonal matrix PVT is proposed and show its advantage on both polarization state angle and polarization divergence. The result that Nonlinear PVT separates the target and the jamming on the Poincare sphere can help to improve the filter performance, bringing convenience to subsequent interference suppression, polarimetric target enhancement and recognition.

Target scattering estimation in clutter with polarization optimization

In this paper, we propose an adaptive waveform polarization method for the estimation of target scattering matrix in the presence of clutter. The proposed sequential algorithm, based on the concept of sequential minimum mean square error (MSE) estimation, to determine the coefficients of the scattering matrix, guarantees the convergence and the resulting computational complexity is linear with the number of iterations. The effectiveness of the proposed method is validated through numerical results, underlining the performance improvement given by joint transmission and reception (Tx/Rx) polarization optimization for the scalar system. Also, the results show that the vector system with transmission polarization optimization provides a comparative performance as the scalar measurement system employing joint Tx/Rx polarization optimization. Less computation burden highlights the advantage of the former mode.