低存储资源开销的多路快速星点质心提取方法

The attitude update rate is one of the most important performance indexes of the star sensor. With the application of the large array image detector, the processing speed of the traditional star extraction method has become the main bottleneck of the update rate. Given that, a multichannel fast star centroid extraction method is proposed in this paper. Firstly, the information fusion technology based on the effective length of the target in the scanning direction is proposed to realize the correct information fusion of various shapes of boundary targets. Secondly, the dynamic dual-pointer cyclic mapping technology is utilized to recycle the memory resources occupied by invalid information, thus greatly improving the utilization efficiency of the memory resources. Finally, the experimental test is carried out to verify the performance of the proposed method, and the performance is compared and analyzed with that of the traditional single channel method on the same field-programmable gate array (FPGA) chip. The experimental results show that the processing speed of the proposed method is about 3.6 times as high as that of the traditional single channel method, while the memory resource used by the proposed method is merely about 40% of that used by the multichannel method which is directly extended by the traditional single channel method. Thus the feasibility and effectiveness of the proposed method are verified.