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Error analysis for quadtree image formation

机译:四叉树图像形成的误差分析

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The quadtree image formation technique is a computationally efficient approximation to standard backprojection. Where the computational load of backprojection is O(N/sup 3/) for N sensors forming an N/spl times/N image, the quadtree method uses a divide-and-conquer strategy similar to the fast Fourier transform (FFT) to reduce the computational load down to O(N/sup 2/ log(N)). However, the quadtree introduces errors in the relative time shifts used to focus pulses. These errors reduce the signal gain in the mainlobe response for isotropic point-like targets. In addition, the oscillations of the sidelobes increase from stage to stage. This paper develops performance bounds for the mainlobe losses under far field conditions and relates these bounds to the slow-time Nyquist rate.
机译:四叉树图像形成技术是对标准反投影的有效计算近似。对于形成N / spl次/ N图像的N个传感器,反投影的计算负荷为O(N / sup 3 /),则四叉树方法使用类似于快速傅立叶变换(FFT)的分治策略计算负荷降低到O(N / sup 2 / log(N))。但是,四叉树在用于聚焦脉冲的相对时间偏移中引入了误差。这些误差会降低各向同性点状目标的主瓣响应中的信号增益。另外,旁瓣的振荡从一个阶段到另一个阶段增加。本文为远场条件下的主瓣损失制定了性能界限,并将这些界限与慢时奈奎斯特速率联系起来。

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