摘要:
为进一步提升机载多输入多输出(MIMO)雷达空时自适应处理(STAP)的杂波抑制与目标检测性能,本文提出基于极化阵列MIMO雷达的极化空时自适应处理(PSTAP)方法.首先,将新型的极化阵列应用于机载MIMO雷达,建立了机载极化阵列MIMO雷达极化空时自适应处理的信号模型.然后,基于分辨格思想,将杂波影响等效为与杂波自由度相关的独立杂波点源的形式,得到极化阵列MIMO雷达极化空时自适应处理协方差矩阵的等价表示.进而,结合上述等价协方差矩阵,对极化阵列MIMO雷达极化空时自适应处理的输出信杂噪比(SCNR)性能进行了推导分析,讨论了其中极化、空、时匹配系数的影响.理论分析表明,通过利用附加的极化域信息,极化阵列MIMO雷达极化空时自适应处理相比于传统MIMO-STAP能够有效提升杂波抑制性能,更有利于慢速运动目标检测,并且目标与杂波极化参数差别越大,输出SCNR的性能改善效果越明显.仿真结果验证了本文所提极化阵列MIMO雷达极化空时自适应处理方法的有效性与优越性.
Abstract:
In order to further improve the capabilities of clutter suppression and target detection in airborne multiple-input multiple-output (MIMO) radar space-time adaptive processing (STAP), the polarization-space-time adaptive processing (PSTAP) method based on polarization array MIMO radar is proposed. Firstly, by applying the novel polarization array to airborne MMO radar, the signal model of airborne polarization array MIMO radar PSTAP is established. Then based on the idea of resolution grid, the influence of clutter can be equivalent to the formation of independent point sources of clutter related to the clutter degree of freedom, and an equivalent expression for the covariance matrix in polarization array MIMO radar PSTAP is obtained. Next, combined with the equivalent covariance matrix, the signal-to-clutter-plus-noise ratio (SCNR) performance of the polarization array MIMO radar PSTAP is derived and analyzed. The effects of the polarization, spatial and temporal matching coefficients are discussed. When the target is located in the side-looking direction of the airborne radar, the normalized spatial frequency of the target is zero. Then the spatial transmit and spatial receive matching coefficients between the target and the clutter point source in the center of the space-time plane both approach to one. Meanwhile, the normalized Doppler frequency of the side-looking target is in direct proportion to the target speed. When the target speed decreases to zero, the temporal Doppler matching coefficient between the target and the central clutter source is near to one. Thus taking the spatial and temporal matching coefficients into consideration, the SCNR loss of the traditional MIMO-STAP is approximate to zero. It indicates that for traditional MIMO-STAP, its performance of detecting low-speed target is severely degraded by the clutter source, and target detection can hardly be realized just in space-time domains. However, through utilizing the additional polarization information to take advantage of the polarization matching coefficient, the polarization array MIMO radar PSTAP increases the SCNR loss and remarkably lessens the influence of the central clutter source. According to the above theoretical analysis, we can come to the conclusion that the polarization array MIMO radar PSTAP can effectively promote the capability of clutter suppression compared with the traditional MIMO-STAP, which is beneficial to the detection of the moving target with low-speed. Moreover, the improvement of output SCNR performance becomes more significant with increasing the differences between the polarization parameters of target and those of clutter. Therefore, the polarization array MIMO radar PSTAP has great application value for practical engineering. The simulation results verify the validity and superiority of the proposed polarization array MIMO radar PSTAP method.