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Signal-to-noise ratio estimation method and device, electronic equipment and storage medium

A signal-to-noise ratio estimation and signal-to-noise ratio technology, which is applied in the fields of devices, electronic equipment and storage media, and signal-to-noise ratio estimation methods, can solve the problems of increased power consumption of communication systems, increased complexity of communication systems, complicated operation processes, and the like, To achieve the effect of reducing the computational complexity

Active Publication Date: 2020-08-28
BEIJING SENSORO
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The calculation process of the above estimation method is very complicated, which in turn increases the complexity of the communication system and the power consumption of the communication system, which brings inconvenience to the selection and scheduling of the base station

Method used

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  • Signal-to-noise ratio estimation method and device, electronic equipment and storage medium
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  • Signal-to-noise ratio estimation method and device, electronic equipment and storage medium

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Embodiment 1

[0030] figure 1 It is a flow chart of a signal-to-noise ratio estimation method provided by Embodiment 1 of the present invention. This embodiment is applicable to military communication systems or Internet of Things communication systems in which SNR is estimated from a time domain perspective and base station selection and scheduling are performed. It can be performed by a signal-to-noise ratio estimation device, which can be implemented by software and / or hardware, and the device can be integrated in a terminal device or a base station, such as figure 1 As shown, the method specifically includes:

[0031] Step 110, acquire the spread spectrum complex signal received by the receiver, the spread spectrum complex signal is a constant amplitude signal.

[0032] Wherein, the spread-spectrum complex signal is a sampled signal received by the receiver and subjected to spread-spectrum modulation, and may include multiple sample point signals. The spread spectrum modulation may be...

Embodiment 2

[0052] figure 2 It is a flow chart of a signal-to-noise ratio estimation method provided by Embodiment 2 of the present invention. This embodiment is a further refinement of the above-mentioned technical solution. The technical solution in this embodiment can be compared with that in one or more of the above-mentioned embodiments. A combination of options. Such as figure 2 As shown, the method includes:

[0053] Step 210, acquire the spread spectrum complex signal received by the receiver, the spread spectrum complex signal is a constant amplitude signal.

[0054] Step 220: Obtain a conjugate signal of the local spread spectrum signal used for spread spectrum; perform despread processing on the spread spectrum complex signal according to the conjugate signal to obtain a despread signal corresponding to the spread spectrum complex signal.

[0055] Step 230, determine the average value of the sample point signal in the despread signal; use the square value of the average va...

Embodiment 3

[0068] Figure 4 It is a schematic structural diagram of a signal-to-noise ratio estimation device provided in Embodiment 3 of the present invention. combine Figure 4 , the device includes: a spread spectrum complex signal acquisition module 310 , a despreading processing module 320 , a useful signal power determination module 330 and a signal-to-noise ratio estimation module 340 .

[0069] Wherein, the spread spectrum complex signal acquisition module 310 is used to acquire the spread spectrum complex signal received by the receiver, and the spread spectrum complex signal is a constant amplitude signal;

[0070] The despread processing module 320 is used to perform despread processing on the spread spectrum complex signal to obtain a despread signal corresponding to the spread spectrum complex signal;

[0071] Wherein, the spread spectrum complex signal and the despread signal are sampling signals, respectively including a plurality of sample point signals;

[0072] The u...

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Abstract

The embodiment of the invention discloses a signal-to-noise ratio estimation method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring a spreadspectrum complex signal received by a receiver, wherein the spread spectrum complex signal is a constant-amplitude signal; performing despreading processing on the spread spectrum complex signal to obtain a despread signal corresponding to the spread spectrum complex signal; wherein the spread spectrum complex signal and the dispreading signal are sampling signals and respectively comprise a plurality of sample point signals; determining useful signal power matched with the despread signal according to the signal amplitude information of the sample point signal in the despread signal; and estimating the signal-to-noise ratio of the spread spectrum complex signal according to the total power of the spread spectrum complex signal and the useful signal power. The method can reduce the operation complexity of signal-to-noise ratio estimation.

Description

technical field [0001] Embodiments of the present invention relate to the field of communication technologies, and in particular, to a method, device, electronic equipment, and storage medium for estimating a signal-to-noise ratio. Background technique [0002] Spread spectrum is a communication technology that disperses the spectrum of the transmitted signal to be wider than its original bandwidth. Spread spectrum communication is often used in military communication or Internet of Things communication. In military communication systems or Internet of Things communication systems, it is necessary to select and schedule base stations according to the signal strength of spread spectrum. Usually, the signal strength is represented by a Signal-to-Noise Ratio (SNR) value, that is, in a military communication system or an Internet of Things communication system, it is necessary to estimate the SNR value, and select and schedule base stations according to the SNR value. [0003] ...

Claims

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Application Information

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IPC IPC(8): H04B1/69H04B17/336
CPCH04B1/69H04B17/336
Inventor 刘伟郑波浪李晓明熊艳伟李建龙
Owner BEIJING SENSORO
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