Working wireless communication channel selection based on spectral estimation

Patent metadata

Field	Value
Publication number	US-11096193-B2
Application number	US-201916674520-A
Country	US
Kind code	B2
Filing date	Nov 5, 2019
Priority date	May 5, 2017
Publication date	Aug 17, 2021
Grant date	Aug 17, 2021

Abstract

A method for selecting a working wireless communication channel based on spectral estimation includes determining a sub-set of wireless communication channels from a set of wireless communication channels of a working frequency band. A superposition of channel frequency bands of the wireless communication channels in the sub-set covers the working frequency band. The method further includes performing a noise level measurement on each wireless communication channel in the sub-set to obtain a spectral estimation result for each wireless communication channel in the sub-set. The method further includes calculating a spectral density distribution across the working frequency band based on the spectral estimation results of the wireless communication channels in the sub-set. The method further includes selecting, according to the spectral density distribution across the working frequency band, one of the wireless communication channels from the set as the working wireless communication channel.

First claim

What is claimed is:

1. A method for selecting a working wireless communication channel comprising:
determining a sub-set of wireless communication channels from a set of wireless communication channels of a working frequency band, wherein a superposition of channel frequency bands of the wireless communication channels in the sub-set covers the working frequency band;
performing a noise level measurement on each of the wireless communication channels in the sub-set to obtain a spectral estimation result for each channel frequency band of the wireless communication channels in the sub-set;
calculating, by a hardware processor, a spectral density distribution across the working frequency band based on the spectral estimation results of the channel frequency bands of the wireless communication channels in the sub-set; and
selecting, according to the spectral density distribution across the working frequency band, one of the wireless communication channels from the set as the working wireless communication channel.

2. The method of claim 1 , wherein:
determining the sub-set of the wireless communication channels includes selecting two or more of the wireless communication channels, such that a frequency band overlap between each two neighboring wireless communication channels in the sub-set is minimized.

3. The method of claim 1 , wherein:
performing the noise level measurement includes performing at least one of a periodogram method, a Blackman-Tukey method, or Bartlett method.

4. The method of claim 1 , wherein performing the noise level measurement includes:
measuring a channel spectral density distribution in the channel frequency band of each wireless communication channel in the sub-set.

5. The method of claim 4 , wherein calculating the spectral density distribution of the working frequency band includes:
calculating, based on the channel spectral density distributions in the channel frequency bands of the wireless communication channels in the sub-set, average spectral densities within overlapping regions between each two neighboring wireless communication channels in the sub-set.

6. The method of claim 1 , wherein selecting one of the wireless communication channels from the set as the working wireless communication channel includes:
calculating a power indicating value of each of a plurality of wireless communication channels in the set based on the spectral density distribution of the working frequency band; and
selecting one wireless communication channel having a lowest power indicating value as the working wireless communication channel.

7. The method of claim 1 , wherein selecting one of the wireless communication channels as the working wireless communication channel includes:
calculating a power indicating value of each of the plurality of wireless communication channels in the set based on the spectral density distribution of the working frequency band;
determining whether a difference between the total power densities of a first one of the wireless communication channels and a second one of the wireless communication channels is less than a preset threshold value, wherein the first one of the wireless communication channels has a lowest power indicating value, and the second one of the wireless communication channels has a second lowest power indicating value;
calculating a variance of a spectral density distribution within each of the channel frequency bands of the first one of the wireless communication channels and the second one of the wireless communication channels; and
selecting one of the first one of the wireless communication channels and the second one of the wireless communication channels that has a larger variance as the working wireless communication channel.

8. A wireless communication device, comprising:
a hardware processor configured to:
determine a sub-set of wireless communication channels from a set of wireless communication channels of a working frequency band, wherein a superposition of channel frequency bands of the wireless communication channels in the sub-set covers the working frequency band,
perform a noise level measurement on each of the wireless communication channels in the sub-set to obtain a spectral estimation result for each frequency band of the wireless communication channels in the sub-set,
calculate a spectral density distribution across the working frequency band based on the spectral estimation results of the channel frequency bands of the wireless communication channels in the sub-set, and
select, according to the spectral density distribution across the working frequency band, one of the wireless communication channels from the set as the working wireless communication channel; and

a wireless connector configured to connect the wireless communication device to a wireless communication network using the working wireless communication channel.

9. The system of claim 8 , wherein the hardware processor is further configured to:
select two or more of the wireless communication channels from the set as the sub-set, such that a frequency band overlap between each two neighboring wireless communication channels in the sub-set is minimized.

10. The system of claim 8 , wherein the hardware processor is further configured to:
perform the noise level measurement by using at least one of a periodogram method, a Blackman-Tukey method, or Bartlett method.

11. The system of claim 8 , wherein the hardware processor is further configured to:
measure a channel spectral density distribution in the channel frequency band of each wireless communication channel in the sub-set.

12. The system of claim 11 , wherein the hardware processor is further configured to:
calculate, based on the channel spectral density distributions in the channel frequency bands of the wireless communication channels in the sub-set, average spectral densities within overlapping regions between each two neighboring wireless communication channels in the sub-set.

13. The system of claim 8 , wherein the hardware processor is further configured to:
calculate a power indicating value of each of a plurality of wireless communication channels in the set based on the spectral density distribution of the working frequency band; and
select one wireless communication channel having a lowest power indicating value as the working wireless communication channel.

14. The system of claim 8 , wherein the hardware processor is further configured to:
calculate a power indicating value of each of the plurality of wireless communication channels in the set based on the spectral density distribution of the working frequency band;
determine whether a difference between the total power densities of a first one of the wireless communication channels and a second one of the wireless communication channels is less than a preset threshold value, wherein the first one of the wireless communication channels has a lowest power indicating value, and the second one of the wireless communication channels has a second lowest power indicating value;
calculate a variance of a spectral density distribution within each of the channel frequency bands of the first one of the wireless communication channels and the second one of the wireless communication channels; and
select one of the first one of the wireless communication channels and the second one of the wireless communication channels that has a larger variance as the working wireless communication channel.

15. An unmanned aerial vehicle, comprising:
a housing;
a hardware processor held by the housing and configured to:
determine a sub-set of

Assignees

• Sz Dji Technology Co Ltd

Inventors

• Wang Naibo
• Fan Wei

Classifications

• H04L27/0006 Primary

  Assessment of spectral gaps suitable for allocating digitally modulated signals, e.g. for carrier allocation in cognitive radio (for spectrum sharing between different networks H04W16/14) · CPC title

• H04W72/542 Primary

  using measured or perceived quality · CPC title

• H04L5/0062

  Avoidance of ingress interference, e.g. ham radio channels · CPC title

• H04W72/0453

  Resources in frequency domain, e.g. a carrier in FDMA · CPC title

• H04L5/0005

  Time-frequency · CPC title