Processing Structure And Algorithm Of Adaptive Polarization Empty

Radar is widely used in the fields of agriculture, ecology, meteorology and military. As the electronic environment is more and more complex, scholars focus on improving the radar detection performance. The radar return contains the polarization information in addition to the angle and Doppler information. If we can make full use of the polarization information of the radar returns, it can be used not only in the case where a target is slowly or tangentially moving, but also can degrade the clutter and interference.In this essay, we focus on the research on airborne phased array radar. In order to make full use of the polarization information as well as the angle and Doppler information of radar returns and improve the detection performance of radar systems., we analyze the performance of the polarization-space-time processor (PST-GLR) and the polarization-space-time localized processor (PSTL-GLR) in inhomogeneous clutter environments. And we do the following researches:(1) Simulating the detection probability curve of PST-GLR processor in inhomogeneous clutter environments. The results indicated that the PST-GLR processor still performs well in these clutter environments.(2) Analyzing the targets detection performance of PSTL-GLR processor in inhomogeneous clutter environments. The results indicated that the PSTL-GLR processor performs significantly degreased in the inhomogeneous clutter environments than that of the Gaussian clutter environments, but still has practical application values.(3) Proposing a processing technique of full frequency detection in the polarization-space-time domain. When the targets information is unknown, the processor derives the Doppler domain into several localized groups, and detects every groups with PSTL-GLR. The results indicated that when the signal-to-clutter ratio (SCR) is above -10dB, we get an ideal detection probability curve. The feasibility and practicability is affirmed by the simulation results.