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红外玫瑰线扫描的高像素精度转换是亚图像大概率识别跟踪的基础。从易于DSP实时实现的角度 ,提出了一种快速收敛的数字锁相优化迭代技术 ,实施高精度的亚成像。对不同成像算法的性能比较表明 ,锁相优化迭代具有相位积累误差小 ,像素转换精度高 ,运算量小 ,便于实时转换等优点。对扫描同步频率扰动进行优化分配 ,能改善整机性能 ,最大限度地实施锁相。应用DSP中断服务实时处理策略 ,在C5 0系统中实现了锁相优化迭代实时转换。
The high pixel accuracy conversion of infrared rose line scanning is the basis of the high probability of sub-image recognition and tracking. From the perspective of easy DSP real-time implementation, a fast convergence digital phase-locked optimization iteration technique is proposed to implement high-precision sub-imaging. The performance comparison of different imaging algorithms shows that the phase locking optimization iteration has the advantages of small phase accumulation error, high pixel conversion accuracy, small amount of operation, and real-time conversion. Optimal distribution of scanning synchronization frequency disturbances can improve overall performance and maximize phase locking. Apply DSP interrupt service real-time processing strategy to achieve phase-locked optimization iterative real-time conversion in C5 0 system.