阅读说明：本技术 一种目标空间谱分布最优盲匹配的探测阵列优化方法 (Detection array optimization method for target space spectrum distribution optimal blind matching ) 是由 张羽 刘辉 陈明徕 罗秀娟 李治国 郝伟 于 2020-05-14 设计创作，主要内容包括：本发明公开了一种目标空间谱分布最优盲匹配的探测阵列优化方法,旨在解决现有技术中存在的不能对远程位置目标进行实时探测,尤其对于运动目标,难以快速进行信息采集与图像重构的技术问题。本发明实现了对远程位置目标(或非合作目标)的高分辨率观测,并可实时调整探测阵列,根据探测阵列的特性来与目标空间谱做最优匹配,通过不断探测并反馈达到提升对远程目标的实时探测效率。本发明结合了信号探测与迭代由低频向高频迭代运算的这一特点,在迭代的过程中实时与系统级联MTF、探测阵列冗余度等信息融合,在图像最终重构前做出图像质量的及时判断,并调整探测阵列的形态来匹配目标空间谱分布,提升探测效率。(The invention discloses a detection array optimization method for optimal blind matching of target spatial spectrum distribution, and aims to solve the technical problems that a remote target cannot be detected in real time in the prior art, and information acquisition and image reconstruction are difficult to perform quickly particularly on a moving target. The invention realizes high-resolution observation of a remote position target (or a non-cooperative target), can adjust the detection array in real time, optimally matches with a target space spectrum according to the characteristics of the detection array, and achieves the purpose of improving the real-time detection efficiency of the remote target by continuous detection and feedback. The method combines the characteristics of signal detection and iterative operation from low frequency to high frequency, fuses information such as MTF (modulation transfer function) and detection array redundancy with a system in real time in the iterative process, makes timely judgment on image quality before final reconstruction of the image, adjusts the form of the detection array to match with target spatial spectrum distribution, and improves detection efficiency.)

1. A detection array optimization method for target space spectral distribution optimal blind matching is characterized by comprising the following steps:

step 1) determining a speckle field detection array, establishing a coordinate system for the detection array, and calculating the redundancy R of the detection array by taking the transverse direction as an X axis and the longitudinal direction as a Y axis:

wherein:

N_xthe number of participating array elements on the X axis in the detection array is shown;

N_yfor participating in the Y-axis of the detection arrayA number of elements;

step 2) finding out a point with zero redundancy R of the detection array, and fitting the point into an optimal redundancy curve;

step 3) calculating the RST value of a certain array element:

wherein i is the X-axis coordinate of a certain array element, and j is the Y-axis coordinate of the array element;

step 4) repeating the step 3), determining RST values of all array elements, selecting RST as a positive value, determining the position distribution relation between the RST values of all array elements and the optimal redundancy curve, adjusting the array elements in the detection array in real time according to the position distribution relation to optimize towards the direction with more RST value distribution, and expanding the number of the array elements participating in detection in the distribution direction until the form of the detection array is matched with the space spectrum of a target;

step 5) sampling signals returned by the target through the optimized detection array, and performing frequency spectrum iteration on the signals received by each array element in the optimized detection array to obtain frequency spectrum information of a target space;

step 6) reconstructing target space spectrum information according to the spectrum information obtained in the step 5);

and 7) repeating the steps 3) to 6) until the resolution ratio of the optimized detection array to the target meets the requirement.

2. The method for optimizing the detection array for the optimal blind matching of the target spatial spectrum distribution according to claim 1, wherein the method comprises the following steps: the detection array is rectangular, circular or Y-shaped.

3. The method for optimizing the detection array for the optimal blind matching of the target spatial spectrum distribution according to claim 1 or 2, wherein the method comprises the following steps: the detection array is a discrete layout.

4. The method for optimizing the detection array for the optimal blind matching of the target spatial spectrum distribution according to claim 3, wherein the method comprises the following steps: the target is a non-cooperative target.

5. The method for optimizing the detection array for the optimal blind matching of the target spatial spectrum distribution according to claim 4, wherein the method comprises the following steps: the array elements are InGaAs-APDs.