Parallel pulse correlation and geolocation

D.K. Krecker, W. Mitchell
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引用次数: 0

Abstract

The identification and location of ground-based radars via orbiting receivers require the correlation of pulses, the determination of time differences of arrival, and geolocation. Data rates in emitter-rich environments would swamp single-CPU processors performing this operation. The authors present an innovative parallel algorithm developed specifically for this application on massively parallel computers. The algorithm is based on the parallel computation and analysis of a matrix containing the differences in the time of arrival of all pulses received in a time window, and on the parallel proof/disproof of hypothesized emitter locations. Output contains the number of emitters and their location and PRI (pulse repetition interval) sequence. The algorithm was tested on a 16 K processor Connection Machine.<>
平行脉冲相关和地理定位
通过轨道接收机对地面雷达进行识别和定位,需要进行脉冲的相关、到达时间差的确定和地理定位。在发射器较多的环境中,执行此操作的单cpu处理器将无法承受数据速率。作者提出了一种创新的并行算法,专门为大规模并行计算机上的这种应用开发。该算法基于对一个时间窗口内接收到的所有脉冲到达时间差异矩阵的并行计算和分析,以及对假设的发射极位置的并行证明/反证。输出包含发射器的数量和它们的位置和PRI(脉冲重复间隔)序列。该算法在一台16k处理器的连接机上进行了测试。
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