针对分布式机会阵雷达多功能一体化条件下信号处理高性能、高效能与高灵活兼顾的需求,基于拟态计算技术,提出了拟态信号处理方法,对算粒抽象、构件实现、互连结构、存储结构以及处理流程等进行了设计,并在由现场可编程门阵列、数字信号处理以及PowerPC等组成的异构计算平台上构建了拟态信号处理验证系统,最后针对空时自适应处理、脉冲多普勒以及大斜视合成孔径雷达成像等典型分布式机会阵雷达工作模式对拟态信号处理方法的性能、灵活性、计算正确性以及重构效率等进行了全面验证。验证结果表明:拟态信号处理方法在有效提升信号处理性能的同时,能够获得分布式机会阵雷达多种工作模式下信号处理的高灵活性。

Aiming at the demand for high performance, high efficiency and high flexibility of signal processing under the condition of multifunctional integration of distributed opportunistic array radar, a mimic signal processing method is proposed based on the mimic computing technology. The computing grain abstract, component implementation, interconnection structure, storage structure and the processing flow are designed, and a mimic signal processing verification system is built on an alternative computing platform composed of field programmable gate array, digital signal processing, and PowerPC. Based on the typical distributed opportunistic array radar working modes, such as space-time adaptive processing, pulsed Doppler, and strabismus synthetic aperture radar imaging, the performance, flexibility, calculation accuracy and conversion efficiency of the mimic signal processing method are fully verified. The verification results show that the mimic signal processing method can effectively improve the signal processing performance, and at the same time, it can obtain the high flexibility of signal processing under multiple operating modes of the distributed opportunistic array radar.

TN957.51

国家自然科学基金资助面上项目