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Signal pattern recognition method and device

A technology of signal pattern and recognition method, which is applied in the field of communication, can solve the problems of multiplication and addition operations with many times and large amount of calculations

Pending Publication Date: 2020-05-12
TRIDUCTOR TECH SUZHOU
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] Therefore, the technical problem to be solved by the present invention is to overcome the defects of a large number of multiplication and addition operations and a large amount of calculation in the sequence correlation operation in the prior art, thereby providing a signal pattern recognition method and device

Method used

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  • Signal pattern recognition method and device

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Embodiment 1

[0032] This embodiment provides a signal pattern recognition method, which is applied to the signal pattern recognition of PPDU. The PPDU consists of four parts: preamble, frame start symbol, frame header and frame load data, wherein the preamble part consists of 8 or 20 unidentified characters. Modulated CSS symbols, each CSS symbol is composed of 4 CSS sub-symbols, and the 4 different sub-symbol construction methods of CSS symbols are as follows: figure 2 As shown, each PPDU data frame can choose one of the construction methods. Once a sub-symbol construction method is selected, it will remain unchanged during the entire data frame. The CSS symbol frequency changes linearly with time as shown in image 3 shown.

[0033] Such as figure 1 As shown, the signal pattern recognition method includes:

[0034] Step S11: Obtain a sampling sequence of the input signal.

[0035] Exemplarily, the sampling sequence refers to replacing the original temporally continuous signal with a ...

Embodiment 2

[0069] An embodiment of the present invention provides a signal pattern recognition device, such as Figure 5 shown, including:

[0070] The first acquiring module 21 is configured to acquire a sampling sequence of the input signal. For the specific implementation manner, refer to the related description of step S11 in Embodiment 1, which will not be repeated here.

[0071] The first calculation module 22 is configured to calculate a sequence cross-correlation value according to the sampling sequence of the input signal and preset CSS sub-symbols. For the specific implementation manner, refer to the relevant description of step S12 in Embodiment 1, which will not be repeated here.

[0072] The delay module 23 is configured to perform delay processing on the sequence cross-correlation values ​​to obtain second sequence cross-correlation values ​​with different delays. For the specific implementation manner, refer to the relevant description of step S13 in Embodiment 1, which...

Embodiment 3

[0094] The embodiment of the present invention also provides a signal pattern recognition terminal, such as Figure 6 As shown, the signal pattern recognition terminal may include a processor 31 and a memory 32, wherein the processor 31 and the memory 32 may be connected via a bus or in other ways, Figure 6 Take connection via bus as an example.

[0095] The processor 31 may be a central processing unit (Central Processing Unit, CPU). Processor 31 can also be other general processors, digital signal processor (Digital Signal Processor, DSP), application specific integrated circuit (Application Specific Integrated Circuit, ASIC), field programmable gate array (Field-Programmable Gate Array, FPGA) or Other chips such as programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or combinations of the above-mentioned types of chips.

[0096] The memory 32, as a non-transitory computer-readable storage medium, can be used to store non-t...

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Abstract

The invention discloses a signal pattern recognition method and device. The signal pattern recognition method comprises the following specific steps: acquiring a sampling sequence of an input signal;calculating a sequence cross-correlation value according to the sampling sequence of the input signal and a preset CSS sub-symbol; performing delay processing on the sequence cross-correlation value to obtain a second sequence cross-correlation value subjected to different delays; carrying out combining according to the second sequence cross-correlation value to generate a sequence cross-correlation value group; calculating a synchronous identification metric value according to the sequence cross-correlation value group; and identifying the signal mode of the input signal according to the synchronous identification metric value. By implementing the invention, the sequence correlation operation is performed with the preset sub-symbol, and the signal mode of the input signal is identified according to the synchronous identification metric value, so that the operand is reduced.

Description

technical field [0001] The invention relates to the communication field, in particular to a signal pattern recognition method and device. Background technique [0002] IEEE802.15.4 is a low-speed wireless personal area network physical layer and media access control protocol developed by the Institute of Electrical and Electronics Engineers. The protocol defines nearly 20 different physical layers, among which Chirp Spread Spectrum (Chirp Spread Spectrum, The physical layer of CSS) has excellent anti-multipath ability, simple implementation, and convenient deployment at high cost. [0003] IEEE802.15.4 CSS physical layer protocol data frame (Physical Protocol Data Unit, PPDU) is composed of preamble, frame start character, frame header and frame payload data, wherein the preamble part is composed of 8 or 20 CSS symbols, and each CSS symbol It is also composed of 4 CSS sub-symbols. The CSS symbol consists of 4 different sub-symbol construction methods, which remain unchanged...

Claims

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Application Information

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IPC IPC(8): G06K9/00
CPCG06F2218/12Y02D30/70
Inventor 不公告发明人
Owner TRIDUCTOR TECH SUZHOU
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