一种机动平台双基地SAR运动目标成像与定位参数估计方法及系统
By employing a slow-time cubic polynomial slant range model and a multi-component QFM signal parameter estimation method optimized by a genetic algorithm on a mobile platform, the failure problem of imaging and positioning moving targets in bistatic SAR was solved, achieving efficient imaging and positioning of mobile targets and expanding the application scope of bistatic SAR systems.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHENGDU HUIRONG GUOKE MICROSYSTEM TECH CO LTD
- Filing Date
- 2025-08-19
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies fail in imaging and locating moving targets using bistatic SAR on mobile platforms. They cannot effectively handle unknown acceleration of the target motion and range migration and azimuth phase modulation caused by non-cooperative motion, resulting in decreased imaging and locating accuracy.
An echo model is established using a slow-time cubic polynomial slant range model. By employing a multi-component QFM signal parameter estimation method optimized by range motion correction and genetic algorithm, combined with the extended range Doppler positioning equations, imaging and positioning parameter estimation of maneuvering targets are achieved.
It achieves efficient imaging and positioning of moving targets on mobile platforms, is suitable for terminal guidance applications in complex environments, and improves the reconnaissance capabilities and application range of bistatic SAR systems.
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Figure CN120871136B_ABST
Abstract
Citation Information
Patent Citations
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