Integrated embedded signal processing system

Abstract

The invention belongs to the field of embedded computer system design, and relates to an integrated embedded signal processing system. The signal processing system consists of a plurality of minitypepreprocessing front sides and a signal processing platform, wherein the signal processing platform comprises a plurality of signal processing units and a control management unit; and the minitype preprocessing front sides and the signal processing unit are mutually connected with a high-speed switched network in the control management unit independently through an optical signal and an electric signal. The minitype preprocessing front end is deeply embedded into the data collection front side of an embedded application system to finish data preprocessing, and then, the signal is transmitted tothe signal processing platform through a high-speed fiber to finish data fusion and signal processing.

Description

Technical field: [0001] The invention belongs to embedded computer system design technology and relates to a comprehensive embedded signal processing system. This type of signal processing system mainly includes: Synthetic Aperture Radar (SAR), Infrared Search and Track (IRST) and Threat Sensing (DAS), etc. Embedded signal processing system. Background technique: [0002] At present, in embedded signal processing applications, after the front-end data acquisition sensor collects data, it is directly transmitted to the signal processing system, which has a large demand for data transmission bandwidth; the software and hardware resources of different application signal processing systems are used independently, and the signal processing system There is a contradiction between resource redundancy and resource shortage, computing resources cannot be allocated reasonably, and the utilization rate of system computing resources is low; different signal processing applications use i...

AI Technical Summary

Problems solved by technology

[0002] At present, in embedded signal processing applications, after the front-end data acquisition sensor collects data, it is directly transmitted to the signal processing system, which has a large demand for data transmission bandwidth; the software and hardware resources of different application signal processing systems are used independently, and the signal processing system There is a contradiction between resource redundancy and resource shortage, computing resources cannot be allocated reasonably, and the utilization rate of system computing resources is low; different signal processing applications use independent data flow channels in the entire signal processing flow, and each signal processing system There is no data sharing in the process and the data fusion occurs after the data processing is completed, and the degree of data fusion is low; at the same time, with the increasingly complex embedded application environment, the amount of signal processing data is also increasing, requiring the computing power of the signal processing system As a result, the front-end data transmission interface, preprocessing algorithm unit and signal processing in the traditional signal processing system are integrated on the same unit, which is not conducive to the expansion of the system

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