CN112014820A - Signal processing method and system based on movement trend intention judgment - Google Patents
Signal processing method and system based on movement trend intention judgment Download PDFInfo
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
- G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
- G01S7/41—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00 using analysis of echo signal for target characterisation; Target signature; Target cross-section
- G01S7/415—Identification of targets based on measurements of movement associated with the target
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
- G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
- G01S7/41—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00 using analysis of echo signal for target characterisation; Target signature; Target cross-section
- G01S7/417—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00 using analysis of echo signal for target characterisation; Target signature; Target cross-section involving the use of neural networks
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Abstract
The invention discloses a signal processing method and a system based on movement trend intention judgment, wherein the signal processing method comprises the following steps: the linear antenna array sends a radio frequency signal and receives an echo signal; processing the echo signals and extracting target motion signals; calculating the corresponding distance and azimuth angle of the target based on the linear antenna array to obtain the position of the target in the induction area; updating the position of the target, acquiring the motion trail of the target and circularly caching; outputting a movement trend intention of the target by taking the movement track of the target as input based on the artificial neural network model; and executing corresponding action according to the movement trend intention. According to the invention, the millimeter wave radar with the linear antenna array is used, the position of the target in the induction area is obtained through millimeter wave radar signal processing, and the movement trend intention of the target is judged through the movement track of the target, so that the intelligent control of the induction door is realized, and the excellent energy-saving effect and the better user experience effect can be achieved.
Description
Technical Field
The invention belongs to the technical field of digital signal processing, and particularly relates to a signal processing method and system based on movement trend intention judgment.
Background
The millimeter wave is an electromagnetic wave with the wavelength of 0.1-1 cm, the corresponding frequency range is 30-300 GHz, and the millimeter wave radar is widely applied to the fields of intelligent sensing and interaction, intelligent robots, automobile radars and the like, but the millimeter wave radar is not applied to the fields of intelligent sensing doors, intelligent bathrooms and the like.
Traditional products such as intelligent induction door, intelligent bathroom use sensors such as microwave, infrared, supersound to respond to near it whether have personnel to control self switch door etc. have induction range control inaccuracy, can't perceive the position and the movement track of personnel not enough, pass through near and do not intend to enter the door or use under the condition of product, often still carry out invalid switch operation.
Therefore, in view of the above technical problems, it is necessary to provide a signal processing method and system based on an intention judgment of a movement trend.
Disclosure of Invention
The invention aims to provide a signal processing method and a signal processing system based on movement trend intention judgment, so as to intelligently control an induction door by judging the movement trend intention of a target.
In order to achieve the above object, an embodiment of the present invention provides the following technical solutions:
a signal processing method based on an intention judgment of a movement tendency, the signal processing method comprising:
the linear antenna array sends a radio frequency signal and receives an echo signal;
processing the echo signals and extracting target motion signals;
calculating the corresponding distance and azimuth angle of the target based on the linear antenna array to obtain the position of the target in the induction area;
updating the position of the target, acquiring the motion trail of the target and circularly caching;
outputting a movement trend intention of the target by taking the movement track of the target as input based on the artificial neural network model;
and executing corresponding action according to the movement trend intention.
In one embodiment, the linear antenna array comprises 2 or more than 2 antennas.
In an embodiment, the radio frequency signal is a millimeter wave radio frequency signal generated by a millimeter wave radar, and the echo signal is a millimeter wave echo signal.
In one embodiment, the "extracting the target motion signal" specifically includes:
and processing the echo signal through a threshold value and a constant false alarm rate, and extracting a target motion signal.
In an embodiment, the "calculating the distance and the azimuth corresponding to the target based on the linear antenna array" specifically includes:
and respectively calculating the distance of the target through the independent antenna data, and calculating the azimuth angle of the target through a phase difference or angle FFT method between linear antenna arrays.
In one embodiment, the method further comprises: training an artificial neural network model, specifically:
and training an artificial neural network structure by artificially collecting target data and marking the target movement trend intention to obtain an artificial neural network model judged based on the movement trend intention.
In one embodiment, the artificial neural network structure comprises a combination of one or more of a fully-connected network, a convolutional network, and a cyclic network.
In one embodiment, "taking the motion trajectory of the target as input and outputting the motion trend intention of the target" specifically includes:
outputting the motion trend of the target as the goal when the motion track of the target approaches the goal and has the goal entering trend;
and outputting the motion trend of the target to be other when the motion track of the target is other and has no entering trend.
In one embodiment, the "performing the corresponding action according to the movement trend intention" includes:
when the movement trend of the target is the goal, controlling the induction door to open;
when the movement trend of the target is other, the induction door is kept closed.
10. A signal processing system for intent to determine based on a movement trend, the signal processing system comprising:
the radar chip is used for generating a radio frequency signal;
the linear antenna array is connected with the radar chip and used for sending radio frequency signals and receiving echo signals;
and the processor is connected with the radar chip and used for processing the echo signals, extracting target motion signals, calculating the distance and the azimuth angle corresponding to the target based on the linear antenna array, acquiring the position of the target in the induction area, updating the position of the target, acquiring the motion track of the target, circularly caching, outputting the motion trend intention of the target by taking the motion track of the target as input based on the artificial neural network model, and executing corresponding actions according to the motion trend intention.
Compared with the prior art, the invention has the following advantages:
the signal processing method and system based on the movement trend intention judgment use the millimeter wave radar with the linear antenna array, obtain the position of the target in the induction area through the millimeter wave radar signal processing, and judge the movement trend intention of the target through the movement track of the target, thereby realizing the intelligent control of the induction door, and achieving excellent energy-saving effect and better user experience effect.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments described in the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a block diagram of a signal processing system based on an intent to motion determination in accordance with an embodiment of the present invention;
FIG. 2 is a schematic flow chart illustrating a signal processing method based on an intention of movement determination according to an embodiment of the present invention;
fig. 3 is a schematic diagram of an application example of the smart sensor gate according to an embodiment of the present invention.
Detailed Description
The present invention will be described in detail below with reference to embodiments shown in the drawings. The embodiments are not intended to limit the present invention, and structural, methodological, or functional changes made by those skilled in the art according to the embodiments are included in the scope of the present invention.
Referring to fig. 1, in an embodiment of the present invention, a signal processing system based on an intention judgment of a movement trend is disclosed, including:
a radar chip 10 for generating a radio frequency signal;
the linear antenna array 20 is connected with the radar chip 10 and used for sending radio frequency signals and receiving echo signals;
and the processor 30 is connected with the radar chip 10 and is used for processing the echo signals, extracting target motion signals, calculating a distance and an azimuth angle corresponding to the target based on the linear antenna array, acquiring the position of the target in the induction area, updating the position of the target, acquiring a motion track of the target, circularly caching, outputting a motion trend intention of the target by taking the motion track of the target as input based on the artificial neural network model, and executing corresponding actions according to the motion trend intention.
Referring to fig. 2, the signal processing method based on the movement trend intention determination in this embodiment specifically includes the following steps:
1. the linear antenna array transmits radio frequency signals and receives echo signals.
The radio frequency signal is a millimeter wave radio frequency signal (with a wavelength of 0.1-1 cm) generated by the millimeter wave radar 10, and the echo signal is a millimeter wave echo signal received by the linear antenna array 20.
The linear antenna array includes 2 or more than 2 antennas to have the capability of measuring the distance and the azimuth angle of the target in the sensing area, and the linear antenna array 20 in this embodiment is integrated on the radar chip 10. The azimuth angle is an angle corresponding to a target in a radar sensing area, for example, the sensing area is in a sector shape, the radar chip is located at a circle center corresponding to the sector shape, the sector shape area includes a starting boundary and a final boundary, the distance and the distance between the target position and the circle center, and the azimuth angle and an included angle between a connecting line of the target position and the circle center and the starting boundary.
2. And processing the echo signals and extracting target motion signals.
And processing the millimeter wave echo signals, processing the millimeter wave echo signals through a threshold value and a Constant False Alarm Rate (CFAR), and extracting target motion signals, wherein the target can be a person and the like.
3. And calculating the corresponding distance and azimuth angle of the target based on the linear antenna array to obtain the position of the target in the induction area.
On the basis of the target motion signal, the distance of the target is respectively calculated through independent antenna data, the azimuth angle of the target is calculated through a phase difference or angle FFT method between linear antenna arrays, and the position of the target in the induction area can be calculated through combining the distance and the azimuth angle.
4. And updating the position of the target, acquiring the motion trail of the target and circularly caching.
And circularly caching the target position obtained by calculation in continuous multi-frame data, and always keeping the current latest position for a period of time to obtain a real-time continuously updated target motion track.
5. And outputting the movement trend intention of the target by taking the movement track of the target as input based on the artificial neural network model.
Firstly, training an artificial neural network model, specifically:
the method comprises the steps of training an artificial neural network structure by manually acquiring target data and marking a target movement trend intention to obtain an artificial neural network model judged based on the movement trend intention, wherein the artificial neural network structure comprises one or more combinations of a fully-connected network, a convolutional network, a cyclic network and the like.
And outputting the movement trend intention of the target by using the trained artificial neural network model and taking the movement track of the target as input. When the motion trail of the target approaches to the door and has an entrance trend, outputting the motion trend of the target to intend to enter the door; and outputting the motion trend of the target to be other when the motion track of the target is other and has no entering trend.
6. And executing corresponding action according to the movement trend intention.
When the outputted movement trend of the target is intended to enter the door, controlling the induction door to open;
when the output target movement trend is other, the induction door is kept closed.
Referring to fig. 3, an exemplary application of the present invention to an intelligent induction door is schematically shown, but the present invention is also applicable to, but not limited to, an intelligent induction door, an intelligent bathroom door, etc. The radar senses and judges that the movement track of the target is approaching the door and the target tends to enter the door, the movement intention of the output personnel is entering the door, and the induction door controls the door to be opened; and when the radar senses and judges that the movement track of the personnel is other and does not have the entering trend, outputting other movement intentions of the personnel, and the induction door does not control the door to be opened. The switch of the induction door is intelligently and accurately controlled by accurately judging the target intention, so that the user experience effect can be improved, and the invalid energy consumption can be reduced.
According to the technical scheme, the invention has the following beneficial effects:
the signal processing method and system based on the movement trend intention judgment use the millimeter wave radar with the linear antenna array, obtain the position of the target in the induction area through the millimeter wave radar signal processing, and judge the movement trend intention of the target through the movement track of the target, thereby realizing the intelligent control of the induction door, and achieving excellent energy-saving effect and better user experience effect.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Furthermore, it should be understood that although the present description refers to embodiments, not every embodiment may contain only a single embodiment, and such description is for clarity only, and those skilled in the art should integrate the description, and the embodiments may be combined as appropriate to form other embodiments understood by those skilled in the art.
Claims (10)
1. A signal processing method based on an intention judgment of a movement tendency, the signal processing method comprising:
the linear antenna array sends a radio frequency signal and receives an echo signal;
processing the echo signals and extracting target motion signals;
calculating the corresponding distance and azimuth angle of the target based on the linear antenna array to obtain the position of the target in the induction area;
updating the position of the target, acquiring the motion trail of the target and circularly caching;
outputting a movement trend intention of the target by taking the movement track of the target as input based on the artificial neural network model;
and executing corresponding action according to the movement trend intention.
2. The signal processing method based on motion trend intention judgment according to claim 1, wherein the linear antenna array comprises 2 or more than 2 antennas.
3. The signal processing method based on the movement tendency intention judgment as claimed in claim 1, wherein the radio frequency signal is a millimeter wave radio frequency signal generated by a millimeter wave radar, and the echo signal is a millimeter wave echo signal.
4. The signal processing method based on motion trend intention judgment as claimed in claim 1, wherein the "extracting target motion signal" is specifically:
and processing the echo signal through a threshold value and a constant false alarm rate, and extracting a target motion signal.
5. The signal processing method according to claim 1, wherein the calculating the distance and the azimuth angle corresponding to the target based on the linear antenna array specifically comprises:
and respectively calculating the distance of the target through the independent antenna data, and calculating the azimuth angle of the target through a phase difference or angle FFT method between linear antenna arrays.
6. The signal processing method based on motion trend intention judgment according to claim 1, further comprising: training an artificial neural network model, specifically:
and training an artificial neural network structure by artificially collecting target data and marking the target movement trend intention to obtain an artificial neural network model judged based on the movement trend intention.
7. The signal processing method based on movement tendency intention judgment according to claim 6, characterized in that the artificial neural network structure comprises one or more combination of fully connected network, convolutional network and cyclic network.
8. The signal processing method according to claim 1, wherein outputting the movement tendency intention of the target using the movement trajectory of the target as an input specifically comprises:
outputting the motion trend of the target as the goal when the motion track of the target approaches the goal and has the goal entering trend;
and outputting the motion trend of the target to be other when the motion track of the target is other and has no entering trend.
9. The signal processing method according to claim 8, wherein the "performing the corresponding action according to the movement tendency intention" is specifically:
when the movement trend of the target is the goal, controlling the induction door to open;
when the movement trend of the target is other, the induction door is kept closed.
10. A signal processing system for intent to determine based on a movement trend, the signal processing system comprising:
the radar chip is used for generating a radio frequency signal;
the linear antenna array is connected with the radar chip and used for sending radio frequency signals and receiving echo signals;
and the processor is connected with the radar chip and used for processing the echo signals, extracting target motion signals, calculating the distance and the azimuth angle corresponding to the target based on the linear antenna array, acquiring the position of the target in the induction area, updating the position of the target, acquiring the motion track of the target, circularly caching, outputting the motion trend intention of the target by taking the motion track of the target as input based on the artificial neural network model, and executing corresponding actions according to the motion trend intention.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114283592A (en) * | 2021-12-28 | 2022-04-05 | 南京矽典微系统有限公司 | Traffic signal lamp control method based on millimeter wave radar and application |
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