Communication signal identification processing-oriented DSP local reconstruction method and system

Abstract

The invention belongs to the technical field of general signal processing, and discloses a communication signal identification processing-oriented DSP local reconstruction method and system, and the method employs local reconstruction, employs an algorithm identification core to identify a modulation mode, and then sends an identification result to a main control core. And the main control core selects a corresponding demodulation algorithm to carry out algorithm dynamic updating on the idle algorithm core at the bottom layer. The parallel processing of a signal processing algorithm is realized by mainly utilizing the multi-core characteristic of a signal processing platform DSP. The working process of the algorithm core is relatively simple, the algorithm core is only responsible for algorithm processing, and the result is output after being processed. All the algorithm cores are in a parallel mode, data and results among the algorithm cores do not interfere with each other, and normal operation of other cores cannot be affected by collapse of one core. According to the invention, the multi-core characteristic of the DSP is fully utilized, and the parallel efficiency of the system is greatly improved.

Description

technical field [0001] The invention belongs to the technical field of general signal processing, and in particular relates to a DSP local reconstruction method and system for communication signal identification processing. Background technique [0002] At present, the new generation of avionics systems are faced with the problems of complex digital signal types, large amount of data, high real-time requirements, and limited size. Although the update speed of hardware processing equipment is fast, and the performance of the processor is improved exponentially, to meet the application requirements of real-time, high efficiency, and scalability on one platform at the same time, the single-core processing platform can no longer meet the processing requirements. Nowadays, the mainstream The DSP chip of the digital signal processing platform has powerful floating-point computing capabilities and real-time processing capabilities. The development of multi-core DSP enables it to ha...

AI Technical Summary

Problems solved by technology

[0004] Through the above analysis, the existing problems and defects of the existing technology are: due to the need to meet real-time performance, high efficiency and scalability on one platform, the existing single-core processing platform cannot meet the processing requirements

At present, the mainstream digital signal processing hardware platforms include field programmable array FPGA, dedicated ASIC chip, and digital signal processor DSP. The first two types can only handle relatively fixed tasks in signal processing due to the limitations of the hardware system. Algorithm adjustments that cannot achieve flexibility

It is difficult to complete complex algorithm deployment in multi-condition operations and complex transaction management application scenarios

If the multi-processor architecture interconnection scheme is used to make up for hardware defects with quantitative advantages, the overall computing performance and task concurrency capability of the signal processing platform can be improved theoretically, but the collaborative work between multi-processors requires more interfaces and scheduling solutions

It greatly increases system hardware resources and power consumption overhead, and brings difficulties in layout and wiring between processors, resulting in excessive board size. The most serious problem is that multi-processors will cause difficulty in heat dissipation of the board and the temperature of the board is too high Will cause the stability and reliability of the chip to be greatly reduced

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