CN108039924B

CN108039924B - Optimum channel optimization searching method using floating threshold and variable bandwidth searching window

Info

Publication number: CN108039924B
Application number: CN201711450859.2A
Authority: CN
Inventors: 韩国民
Original assignee: Tianjin Hengda Wenbo Science& Technology Co ltd
Current assignee: Tianjin Hengda Wenbo Science& Technology Co ltd
Priority date: 2017-12-27
Filing date: 2017-12-27
Publication date: 2020-09-29
Anticipated expiration: 2037-12-27
Also published as: CN108039924A

Abstract

The invention provides an optimal channel optimization searching method using a floating threshold and a variable bandwidth searching window, which comprises the following steps: scanning the RSSI value of each channel of all available frequency bands by using a radio frequency transceiver; and setting a floating threshold value to be gradually increased from small to large, searching and judging from the first channel by utilizing a search window, and circularly searching from large to small by utilizing the search window to obtain the best channel. The invention realizes the search of the optimal channel by utilizing the set floating threshold value and the search window, and realizes the fast and accurate finding of the optimal channel, so that the optimal channel can be fast and accurately found when the product is interfered, and the normal use of the product is ensured.

Description

Optimum channel optimization searching method using floating threshold and variable bandwidth searching window

Technical Field

The invention belongs to the technical field of wireless radio frequency, and particularly relates to an optimal channel optimization searching method using a floating threshold and a variable bandwidth searching window.

Background

The radio frequency device product is easily interfered by complex electromagnetic interference in the environment, a set of method is needed to avoid the interference, and a channel with the best channel is found out at the highest speed. Especially in products requiring high radio frequency transmission rate, such as wireless microphones, a large amount of high-quality audio data needs to be transmitted, which may result in poor product experience and even abnormal use if the radio frequency channel used by the product is slightly interfered

Disclosure of Invention

In view of the above, the present invention is directed to provide an optimal channel optimization searching method using a floating threshold and a variable bandwidth search window, so that when a product is interfered, an optimal channel can still be quickly and accurately found to ensure that the product is normally used.

In order to achieve the purpose, the technical scheme of the invention is realized as follows:

an optimal channel optimization search method using a floating threshold and a variable bandwidth search window, comprising the steps of:

(1) scanning the RSSI value of each channel of all available frequency bands by using a radio frequency transceiver;

(2) setting a floating threshold value, and setting a floating threshold T as a minimum value Tmin;

(3) setting a search window width value D as a maximum value Dmax, setting a search window initial channel A as M, namely starting search judgment from a first channel, and if RSSI values of all channels in the set search window are smaller than a floating threshold T, determining that an optimal channel exists in the search window, wherein the optimal channel is Ch ═ B-A + 1)/2;

the total bandwidth length of the available channel is L, starting from channel M and ending at N, where L is N-M + 1; the value of the floating bandwidth window is D, the initial channel of the floating bandwidth window is A, the ending channel is B, B is A + D, and the conditions that M is N and M is N are met;

(4) if the judgment condition is not met, the search window is shifted to the right by one unit, namely A is M +1, and B is A + D; continuing searching and judging until the search window moves to the rightmost side, namely B is A + D > N;

(5) resetting the search window, and reducing the search window width value D by one step, namely D is Dmax-Delta D; resetting the initial channel A of the search window to be M, namely restarting the search judgment from the leftmost side;

(6) if the condition is not met, repeating the step (4), and circularly judging the search window by moving the search window to the right;

(7) circularly executing the steps (5) and (6) until D < Dmin;

(8) and (4) increasing T by one step, namely T ═ Tmin +. DELTA.t, and circularly executing the steps (3) to (7).

Further, in the step (1), the number of scanning times is set according to the RSSI accuracy, and repeated scanning is performed, and the average value is obtained after the maximum value and the minimum value are removed.

Further, the floating threshold is incremented by small.

Further, the bandwidth range of the searching judgment is decreased from large to small.

Compared with the prior art, the optimal channel optimization searching method using the floating threshold and the variable bandwidth searching window has the following advantages:

the invention realizes the search of the optimal channel by utilizing the set floating threshold value and the search window, and realizes the fast and accurate finding of the optimal channel, so that the optimal channel can be fast and accurately found when the product is interfered, and the normal use of the product is ensured.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate an embodiment of the invention and, together with the description, serve to explain the invention and not to limit the invention. In the drawings:

fig. 1 is a flowchart of an optimal channel optimization search method using a floating threshold and a variable bandwidth search window according to an embodiment of the present invention.

Detailed Description

It should be noted that the embodiments and features of the embodiments may be combined with each other without conflict.

The present invention will be described in detail below with reference to the embodiments with reference to the attached drawings.

As shown in fig. 1, the RSSI values of all channels of the available frequency bands need to be scanned, the RSSI scanned values of the general rf transceiver devices are not particularly accurate, the RSSI scanned values need to be repeatedly scanned to remove the maximum and minimum values, and then the average value is obtained, and the scanning times are flexibly set according to the required RSSI accuracy.

When searching for a good channel, a threshold value is set as T, if the RSSI value of the channel is lower than the threshold value, the channel is considered to be a good channel, but in practical application, the RSSI value of a certain channel cannot be simply determined to determine whether the channel is a good non-interference channel, so that a great error exists to cause abnormal use, because the transmission source of the channel may be far away from the detection point, so that although the detected RSSI value of the channel is low, interference exists at any time, and the channel is not a good channel to be selected. The radio frequency emission occupies a certain bandwidth by using a central frequency point, the RSSI characteristic is shown in the fact that the RSSI of adjacent channels on the left side and the right side of the channel is increased, so that the channels in a certain bandwidth range are selected to be searched and judged integrally, if all the channels are lower than a set threshold value, the central channel in the bandwidth range is considered to be a good channel, the bandwidth range searched and judged is called a search window for short, the length value of the bandwidth range searched and judged is called a search window width value D for short, the D is decreased from large to small in the searching and judging process, the decreasing value can be set to be delta D, the maximum value of the general condition D is smaller than L and is marked as Dmax, the minimum value of the D is marked as Dmin, the maximum value of the D can be set according to the actual condition, and the larger the value of the D;

the RSSI threshold value is set to be a single value, so that the optimal channel cannot be found, and if the threshold value is set to be too low, the center channel meeting the conditions within a certain bandwidth range cannot be found at a high probability; therefore, a floating threshold is adopted, namely the threshold is increased progressively from small value when in searching and judging, and the increasing unit value can be set and recorded as delta t; the maximum value of the floating threshold value is recorded as Tmax, the minimum value is recorded as Tmin, and the maximum and minimum values of T are set according to the actual situation;

assuming that the total bandwidth length of the available channels is L, starting from channel M and ending at N, then L is N-M + 1; the value of the floating bandwidth window is D, the initial channel of the floating bandwidth window is A, the ending channel is B, B is A + D, and the conditions that M is N and M is N are met;

search judgment process and its steps:

1. setting a floating threshold T to a minimum value Tmin;

2. setting a search window width value D as a maximum value Dmax, setting a search window initial channel A as M, namely starting search judgment from a first channel, and if RSSI values of all channels in the set search window are smaller than a floating threshold T, determining that an optimal channel exists in the search window, wherein the optimal channel is Ch ═ B-A + 1)/2;

3. if the judgment condition is not met, the search window is shifted to the right by one unit, namely A is M +1, and B is A + D; continuing searching and judging until the search window moves to the rightmost side, namely B is A + D > N;

4. resetting the search window, and reducing the search window width value D by one step, namely D is Dmax-Delta D; resetting the initial channel A of the search window to be M, namely restarting the search judgment from the leftmost side;

5. if the condition is not met, repeating the step 3, and circularly judging the search window by moving the search window to the right;

6. after the 5 th step, the 4 th step and the 5 th step are executed circularly until D < Dmin,

and increasing T by one gear, namely T ═ Tmin +. DELTA.t, and circularly executing the steps 2, 3, 4, 5 and 6.

The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.

Claims

1. An optimal channel optimization search method using a floating threshold and a variable bandwidth search window, characterized by: the method comprises the following steps:

the total bandwidth length of the available channel is L, starting from channel M and ending at N, where L is N-M + 1; searching a window width value D, starting a channel A by the search window, and ending the channel B, wherein B is A + D, and the conditions of M < ═ A < ═ N and M < ═ B < ═ N are met;

(5) resetting a search window, reducing the width value D of the search window by one step, and recording the variation of D as delta D, namely D is Dmax-delta D; resetting the initial channel A of the search window to be M, namely restarting the search judgment from the leftmost side;

(7) circularly executing the steps (5) and (6) until D < Dmin;

(8) and (4) increasing T by one step, recording the conversion amount of T as delta T, namely T ═ Tmin +. DELTA T, and circularly executing the steps (3) to (7).

2. The method of claim 1, wherein the optimal channel optimization search using a floating threshold and a variable bandwidth search window comprises: in the step (1), the scanning times are set according to the RSSI precision to carry out repeated scanning, and the average value is obtained after the maximum value and the minimum value are removed.

3. The method of claim 1, wherein the optimal channel optimization search using a floating threshold and a variable bandwidth search window comprises: the floating threshold is incremented by small.

4. The method of claim 1, wherein the optimal channel optimization search using a floating threshold and a variable bandwidth search window comprises: the bandwidth range of the searching judgment is decreased from large to small.