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采用传统的大视场高精度实时定位技术，大量的冗余数据使得理论上得以通过的系统实际上难以形成或效率低下。借鉴仿生学等原理，本文提出一种新方案。在高度协调的情况下，对目标及背景信息进行分级探测、采集及处理。既剔除背景所带来的大量冗余数据，又能高精度地探测、采集和处理目标信息，使系统能高效、实时地对目标进行大视场搜索和高精度定位。经计算仿真研究，证实了方案的可行性。
With the traditional large field of view high-precision real-time location technology, a large number of redundant data makes it virtually impossible or inefficient to pass a theoretical system. Basing on such principles as bionics, this paper proposes a new scheme. In a highly coordinated manner, the target and background information are graded to detect, collect and process. It not only eliminates the large amount of redundant data brought by the background, but also can detect, collect and process the target information with high accuracy, so that the system can carry out large-field search and high-precision positioning of the target efficiently and in real time. After calculation and simulation study, the feasibility of the scheme is confirmed.