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首页> 外文期刊>Analog Integrated Circuits and Signal Processing >High Precision Image Centroid Computation via an Adaptive K-Winner-Take-all Circuit in Conjunction with a Dynamic Element Matching Algorithm for Star Tracking Applications
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High Precision Image Centroid Computation via an Adaptive K-Winner-Take-all Circuit in Conjunction with a Dynamic Element Matching Algorithm for Star Tracking Applications

机译：通过自适应K-Winner-Take-all电路与动态元素匹配算法结合使用进行星跟踪应用的高精度图像质心计算

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摘要

An approach for implementing a high precision image target centroid-center of mass (COM) detection system via an adaptive K-winner-take-all (WTA) circuit in conjunction with a 2-D dynamic element matching (DEM) algorithm implementation for image sensor arrays is proposed. The proposed system outputs a high precision COM location of the most salient target in a programmable active region of the field of view (FOV) for star tracking purposes and is suitable for real time applications. The system allows target selection and locking with multiple targets tracking capability. This solution utilizes the separability property of the COM, and therefore reduces the computational complexity by utilizing 1-D circuits for the computation. The DEM algorithm, commonly used in ADC and DAC circuits, allows reducing the required WTA circuit precision to 5-6 bits, while still achieving a high output precision. Simulation results prove the concept and demonstrate the high precision COM result. In addition, a possible low-level hardware implementation is described.
机译：一种通过自适应K赢家通吃（WTA）电路结合图像的二维动态元素匹配（DEM）算法实现来实现高精度图像目标质心（COM）检测系统的方法提出了传感器阵列。所提出的系统在恒星跟踪目的的可编程活动视场（FOV）中输出最显着目标的高精度COM位置，适用于实时应用。该系统允许目标选择和锁定，并具有多个目标跟踪功能。该解决方案利用了COM的可分离性，因此通过利用1-D电路进行计算来降低了计算复杂性。通常在ADC和DAC电路中使用的DEM算法可将所需的WTA电路精度降低到5-6位，同时仍可实现较高的输出精度。仿真结果证明了该概念并证明了高精度COM结果。另外，描述了可能的低级硬件实现。

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