KR20180081283A - Low power Frequency Modulated Continuous Waveform system and controlling method thereof - Google Patents

Low power Frequency Modulated Continuous Waveform system and controlling method thereof Download PDF

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KR20180081283A
KR20180081283A KR1020170002333A KR20170002333A KR20180081283A KR 20180081283 A KR20180081283 A KR 20180081283A KR 1020170002333 A KR1020170002333 A KR 1020170002333A KR 20170002333 A KR20170002333 A KR 20170002333A KR 20180081283 A KR20180081283 A KR 20180081283A
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target
samples
confirmation module
presence
cfar
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KR1020170002333A
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KR101908455B1 (en
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김승용
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비아이에스웍스 주식회사
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO 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
    • G01S7/00Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
    • G01S7/02Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
    • G01S7/35Details of non-pulse systems
    • G01S7/352Receivers
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO 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
    • G01S13/00Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
    • G01S13/02Systems using reflection of radio waves, e.g. primary radar systems; Analogous systems
    • G01S13/06Systems determining position data of a target
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO 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
    • G01S13/00Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
    • G01S13/02Systems using reflection of radio waves, e.g. primary radar systems; Analogous systems
    • G01S13/06Systems determining position data of a target
    • G01S13/08Systems for measuring distance only
    • G01S13/10Systems for measuring distance only using transmission of interrupted pulse modulated waves
    • G01S13/26Systems for measuring distance only using transmission of interrupted pulse modulated waves wherein the transmitted pulses use a frequency- or phase-modulated carrier wave
    • G01S13/28Systems for measuring distance only using transmission of interrupted pulse modulated waves wherein the transmitted pulses use a frequency- or phase-modulated carrier wave with time compression of received pulses
    • G01S13/282Systems for measuring distance only using transmission of interrupted pulse modulated waves wherein the transmitted pulses use a frequency- or phase-modulated carrier wave with time compression of received pulses using a frequency modulated carrier wave
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO 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
    • G01S13/00Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
    • G01S13/88Radar or analogous systems specially adapted for specific applications
    • G01S13/886Radar or analogous systems specially adapted for specific applications for alarm systems
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO 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
    • G01S3/00Direction-finders for determining the direction from which infrasonic, sonic, ultrasonic, or electromagnetic waves, or particle emission, not having a directional significance, are being received
    • G01S3/02Direction-finders for determining the direction from which infrasonic, sonic, ultrasonic, or electromagnetic waves, or particle emission, not having a directional significance, are being received using radio waves
    • G01S3/04Details
    • G01S3/043Receivers
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO 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
    • G01S7/00Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
    • G01S7/02Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
    • G01S7/35Details of non-pulse systems
    • G01S7/352Receivers
    • G01S2007/356Receivers involving particularities of FFT processing

Abstract

The present invention relates to a low-power-frequency-modulated continuous wave radar system and a control method thereof. More particularly, the present invention relates to a low-power frequency-modulated continuous wave radar system and a control method thereof, Frequency continuous wave radar system and method for controlling the same.
According to another aspect of the present invention, there is provided an information processing apparatus including: an intrusion confirmation module that receives N samples from a received signal reflected from a target and extracts N / M sub-samples to confirm presence of a target; And a location confirmation module for receiving the N samples and detecting the presence of the target and calculating the arrival angle of the detected target to calculate the position of the target when the intrusion confirmation module confirms the presence of the target, Provides a low power, frequency modulated continuous wave radar system and its control method which are two or more natural numbers, so that the target can be detected and confirmed at low power.

Description

TECHNICAL FIELD [0001] The present invention relates to a low power frequency modulated continuous wave radar system and a control method thereof,

The present invention relates to a low-power-frequency-modulated continuous wave radar system and a control method thereof. More particularly, the present invention relates to a low-power frequency-modulated continuous wave radar system and a control method thereof, Frequency continuous wave radar system and method for controlling the same.

Recently, radar technology, which was used for military purposes, is being promoted as a private technology. As a result, many studies are being carried out for private security and automobile navigation.

Radar technology, which is widely used in civilian areas, is a pulse type and a continuous wave type.

Although the pulse scheme utilizes very low power, it can have a distance resolution of up to a few centimeters because of the advantage of using a very wide frequency bandwidth. On the other hand, the transmission output is too low, so that it can be used only within about 10m.

The continuous wave method has a disadvantage in that it can not use the distance information because it can use a relatively high transmission power and can be used for a long distance but simply extracts the Doppler frequency to detect the target.

In the continuous wave method, the radar technique used to obtain the coarse distance information is Frequency Modulated Continuous Waveform (FMCW).

The FMCW method has the advantage that the target can be detected to a long distance because the distance resolution is lower than the pulse method but the high output can be used.

According to the FMCW method, a window function and a fast Fourier transform (FFT) are repeatedly performed on N samples periodically acquired. According to the conventional FMCW method, the window function and the fast Fourier transform The conversion increases significantly as the number of samples N increases.

Especially, in the case of the fast Fourier transform, the amount of computation increases exponentially as the value of N increases.

In order to reduce the power consumption due to the increase of the computation amount, the number of samples N must be reduced. However, since the number N of samples has a direct influence on the distance resolution, decreasing N decreases the accuracy of the overall radar. Accordingly, it is not easy to reduce the number of samples N. [

Domestic Registration No. 10-1527772 Domestic Publication No. 10-2012-0074162 Domestic Registration No. 10-1360572

In order to solve the above problems, the present invention has been made to reduce the number of samples and to detect the presence of an intruder and to increase the number of samples so that the presence of an intruder can be detected, thereby reducing power consumption A low power frequency modulated continuous wave radar system and a control method thereof.

The system of the present invention includes an intrusion confirmation module that receives N samples from a received signal reflected from a target and extracts N / M sub-samples to confirm existence of a target; And a location confirmation module for receiving the N samples and detecting the presence of the target and calculating the arrival angle of the detected target to calculate the position of the target when the intrusion confirmation module confirms the presence of the target, Is a natural number of 2 or more.

In addition, the intrusion confirmation module of the system of the present invention receives N samples from a received signal reflected from a target, extracts N / M sub-samples, performs Fast Fourier Transform, and performs a CFAR operation, .

Also, the intrusion confirmation module of the system of the present invention includes: a subsampler for receiving N samples from a received signal reflected from a target and extracting N / M sub-samples; A first window function unit for lowering the side lobe level of the interference signal with respect to the N / M sub-sample; A first fast Fourier transform unit performing fast Fourier transform on an output signal of the first window function unit; And a first CFAR detector for detecting a target by performing a CFAR operation on an output signal of the first FFT unit to confirm the presence of a target.

In addition, the location confirmation module of the system of the present invention performs fast Fourier transform on N samples when the intrusion confirmation module confirms the existence of a target, performs CFAR operation to detect the presence of a target, The position of the target is calculated by calculating the arrival angle of the target.

In addition, when the intrusion confirmation module confirms the presence of the target, the location confirmation module of the system of the present invention receives N samples from the received signals reflected from the target and performs fast Fourier transform on N samples A second high-speed Fourier transform unit; A local CFAR detecting unit for detecting a target by performing a CFAR operation of a local area on a detection area of a target whose intrusion confirmation module is identified; And an arrival angle calculating unit calculating the arrival angle of the target detected by the local CFAR detecting unit and calculating the position of the target.

When the intrusion confirmation module confirms the existence of the target, the positioning module of the system of the present invention receives N samples from the received signals reflected from the target and lowers the side lobe level of the interference signal, And a second window function unit for providing the second window function to the Fourier transform unit.

In the position determining module of the system of the present invention, when the intrusion confirmation module confirms the existence of the target, the position determining module may receive the N samples from the received signals reflected from the target and lower the side lobe level of the interference signal. part; A second fast Fourier transform unit performing fast Fourier transform on an output signal of the second window function unit; A second CFAR detector for detecting a target by performing a CFAR operation on an output signal of the second FFT unit; And an arrival angle calculating unit calculating the arrival angle of the target detected by the second CFAR detecting unit and calculating the position of the target.

Meanwhile, the method of the present invention comprises the steps of: (A) inputting N samples from a received signal reflected from a target and detecting N / M sub-samples to confirm presence of a target; And (B) when the location confirmation module confirms the existence of the target, the step of detecting the presence of the target by receiving N samples and calculating the arrival angle of the detected target to calculate the position of the target And M is a natural number of 2 or more.

In the step (A) of the method of the present invention, the intrusion confirmation module receives N samples from the received signals reflected from the target and extracts N / M sub-samples, performs fast Fourier transform, To confirm the presence of the target.

The step (A) of the method of the present invention may further comprise: (A1) extracting N / M sub-samples by receiving N samples from the received signals reflected from the target; (A2) the intrusion confirmation module lowering the side lobe level of the interference signal for the N / M subsample; (A3) performing the fast Fourier transform on the intrusion confirmation module; And (A4) the infiltration confirmation module performs a CFAR operation on the fast Fourier transformed signal to detect the target and confirm the existence of the target.

In the step (B) of the method of the present invention, the positioning module performs fast Fourier transform on N samples, performs a CFAR operation to detect the presence of a target, and calculates an arrival angle of the detected target Thereby calculating the position of the target.

The step (B) of the method of the present invention may further comprise the steps of: (B1) receiving the N samples from the received signals reflected from the target and performing fast Fourier transform on the N samples; (B2) the location confirmation module performs a CFAR operation of the local area on the detection area of the target identified by the intrusion confirmation module to detect the target; And (B3) the position determination module includes calculating a position of the target by calculating an arrival angle of the detected target.

In the step (B) of the method of the present invention, when the positioning module confirms the presence of the target before the step (B1), the positioning module checks N samples And lowering the level of the side lobe of the received interference signal.

In the step (B) of the method of the present invention, when the intrusion confirmation module confirms the presence of the target, the location confirmation module receives N samples from the received signals reflected from the target, Lowering the level of the sub-lobes; (B2) the positioning module performs fast Fourier transform; (B3) detecting the target by performing a CFAR operation on the fast Fourier transformed output signal; And (B4) the position determination module includes calculating an arrival angle of the detected target and calculating a position of the target.

According to the present invention, it is possible to reduce the number of samples and to check the presence of an intruder and to increase the number of samples so that the presence of an intruder can be ascertained, thereby reducing power consumption.

FIG. 1 is a configuration diagram of a low power frequency modulated continuous wave radar system according to a preferred embodiment of the present invention.
2 is a configuration diagram of a low-power-frequency-modulated continuous wave radar system according to another preferred embodiment of the present invention.
3 is a flowchart of a method of controlling a low-power-frequency-modulated continuous wave radar system according to a preferred embodiment of the present invention.
4 is a flowchart of a method of controlling a low-power-frequency-modulated continuous wave radar system according to another preferred embodiment of the present invention.

BRIEF DESCRIPTION OF THE DRAWINGS The present invention is capable of various modifications and various embodiments, and specific embodiments will be described in detail below with reference to the accompanying drawings.

The following examples are provided to aid in a comprehensive understanding of the methods, apparatus, and / or systems described herein. However, this is merely an example and the present invention is not limited thereto.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings. In the following description, well-known functions or constructions are not described in detail since they would obscure the invention in unnecessary detail. The following terms are defined in consideration of the functions of the present invention, and may be changed according to the intention or custom of the user, the operator, and the like. Therefore, the definition should be based on the contents throughout this specification. The terms used in the detailed description are intended only to describe embodiments of the invention and should in no way be limiting. Unless specifically stated otherwise, the singular form of a term includes plural forms of meaning. In this description, the expressions "comprising" or "comprising" are intended to indicate certain features, numbers, steps, operations, elements, parts or combinations thereof, Should not be construed to preclude the presence or possibility of other features, numbers, steps, operations, elements, portions or combinations thereof.

It is also to be understood that the terms first, second, etc. may be used to describe various components, but the components are not limited by the terms, and the terms may be used to distinguish one component from another .

FIG. 1 is a configuration diagram of a low power frequency modulated continuous wave radar system according to a preferred embodiment of the present invention.

Referring to FIG. 1, a low-power-frequency-modulated continuous wave radar system according to a preferred embodiment of the present invention includes an intrusion confirmation module 100 and a positioning module 200.

The intrusion confirmation module 100 sends a transmission signal and transmits N pieces of sampled data sampled by an analogue digital converter (ADC) (not shown) among the reception signals reflected from a target (intruder) The N / M sub-samples are input, that is, N samples are received, and then a fast Fourier transform is performed on the extracted N / M sub-samples, and a CFAR (Constant False Alarm Rate) Check whether the target exists. Where M is a natural number greater than or equal to 2.

The intrusion confirmation module 100 includes a subsampler 110, a first window function unit 120, a first FFT unit 130, and a first CFAR (Constant False Alarm Rate) detector 140 .

In the intrusion confirmation module 100, the subsampler 110 receives N samples and forms subsamples with N / M samples. Where M is a natural number greater than or equal to 2.

That is, the subsampler 110 receives N samples and forms N / M sub-samples to reduce the number of samples, thereby reducing the amount of computation in the calculation process.

Next, the first window function unit 120 of the intrusion confirmation module 100 lowers the side lobe level of the interference signal using, for example, a window function such as a Hamming window or a Chebyshev window .

Generally, in a radar system using a frequency-modulated continuous waveform, it is necessary to estimate a mutation frequency and an additional Doppler spectrum according to each distance in order to remotely detect a moving target, and a baseband or an intermediate frequency band A fast Fourier transform (FFT) technique can be used mainly for the spectrum estimation of FIG.

As is well known, the characteristics of the system may cause the radar antenna to be given a significantly shorter dwell time at which to acquire the reflected signal of the target. In this case, serious side effects such as side-lobes of the interfering signal may be obscured by the information of adjacent adjacent signals, which may lead to serious performance deterioration.

That is, when the reception time of the reflected wave reflected from the target is relatively short, a side leaf of a strong interference signal such as a clutter leaks to the adjacent Doppler filter, and a signal to be detected can be hidden. Here, clutter refers to a reflection obstacle such as echo caused by reflected waves generated from ground, sea surface, raindrops, etc. in a radar.

Accordingly, in one embodiment, it is possible to facilitate the detection of the bit frequency by lowering the side lobe level of the interference signal using various window functions.

Next, the first FFT unit 130 performs fast Fourier transform on the output signal of the first window function unit 120 and outputs the result.

The first CFAR detecting unit 140 performs a CFAR operation to detect a target.

In other words, the first CFAR detecting unit 140 detects the first CFAR signal from the output signal of the first high-speed Fourier transformer 130

It is possible to apply a variable detection threshold value to select specific bit frequencies.

The first CFAR detector 140 removes the clutter while maintaining a false alarm rate by applying a variable detection threshold in a variable noise and clutter environment, and selects a meaningful bit frequency.

The first CFAR detecting unit 140 detects a cell-averaging CFAR, an OS-CFAR, a GO-CFAR, and a SO-CFAR according to a method of selecting a detection threshold value. -CFAR (Smallest Of-CFAR)

All. The first CFAR detecting unit 140 detects the distance of the target from the selected bit frequencies,

Speed and azimuth angle, and can confirm whether or not the target (intruder) is present.

When the intrusion confirmation module 100 confirms the existence of the target (invader), the location confirmation module 200 performs fast Fourier transform on the N samples. If the intrusion confirmation module 100 confirms the existence of the target The CFAR operation is performed on the region, i.e., the local region, to detect the presence of the target, and to calculate the arrival angle of the detected target to calculate the position of the target.

The position determining module 200 includes a second FFT unit 210, a local CFAR detecting unit 220, and a DOA calculating unit 230.

The second fast Fourier transformer 210 of the position determination module 200 performs fast Fourier transform on N samples.

The local CFAR detecting unit 220 detects a target by performing a CFAR operation on the detected region of the target identified by the first CFAR detecting unit 140, that is, on the local region.

That is, the local CFAR detecting unit 220 can select a specific bit frequency by applying a variable detection threshold to the local region, and detects the target using the selected characteristic bit frequency.

Next, the arrival angle calculating section 230 estimates the arrival angle of the reflected signal reflected from the target, and confirms the position of the target.

The arrival angle estimation process performed by the arrival angle calculation unit 230 first calculates a correlation matrix. That is, a correlation matrix indicating the position of the target in each of the up-chirp and down-chirp constituting the impulse pulse is calculated.

Next, the arrival angle calculating unit 230 performs correlation matrix averaging to estimate a noise region in the calculated correlation matrix. That is, the correlation matrix is averaged using the number of concatenated pulses consisting of up-chirp and down-chirp.

On the other hand, in the averaging of the correlation matrix, the correlation matrices calculated in the respective impulse pulses are accumulated, and the accumulation result is divided by the number of multiplying pulses to average the correlation matrix.

Next, the signal domain and the noise domain are separated through eigenvalue decomposition of the averaged result of the correlation matrix. That is, eigenvalue decomposition is performed to calculate an eigenvector by separating the signal region and the estimated noise region from the averaged result.

Next, the number of targets is selected from the signal region excluding the noise region in the eigenvector, and the directional angle of inclination with respect to the selected target is estimated.

In the low-power-frequency modulated continuous wave radar system according to the preferred embodiment of the present invention, when the intrusion confirmation module confirms the presence of the target, the location confirmation module inputs N samples out of the received signals reflected from the target, And a second window function unit for lowering the level of a side lobe of the received interference signal and providing the second side window function unit to the second FFT unit.

2 is a configuration diagram of a low-power-frequency-modulated continuous wave radar system according to another preferred embodiment of the present invention.

Referring to FIG. 2, a low-power-frequency modulated continuous wave radar system according to another preferred embodiment of the present invention includes an intrusion confirmation module 100 and a location confirmation module 200 '.

The intrusion confirmation module 100 sends a transmission signal and transmits N pieces of sampled data sampled by an analogue digital converter (ADC) (not shown) among the reception signals reflected from a target (intruder) The N / M sub-samples are input, that is, N samples are received, and then a fast Fourier transform is performed on the extracted N / M sub-samples, and a CFAR (Constant False Alarm Rate) Check whether the target exists. Where M is a natural number greater than or equal to 2.

The intrusion confirmation module 100 includes a subsampler 110, a first window function unit 120, a first FFT unit 130, and a first CFAR (Constant False Alarm Rate) detector 140 1, and detailed description thereof will be omitted.

When the intrusion confirmation module 100 confirms the existence of the target (invader), the location confirmation module 200 performs fast Fourier transform on N samples, performs CFAR operation to detect the presence of the target, And the position of the target is calculated by calculating the arrival angle of the detected target.

The position determining module 200 'includes a second window function unit 205, a second FFT unit 210, a second CFAR detecting unit 220', a DOA (Direction Of Arrival) calculating unit 230, and further includes a second window function unit 205 unlike the embodiment of FIG. 1, and the second CFAR detecting unit 220 'does not target the local area.

The second window function unit 205 of the position determination module 200 'may lower the side lobe level of the interference signal using a window function such as a Hamming window or a Chebyshev window have.

Next, the second fast Fourier transform unit 210 performs fast Fourier transform on N samples.

The second CFAR detecting unit 220 'performs a CFAR operation to detect a target.

That is, the second CFAR detecting unit 220 'can select a specific bit frequency by applying a variable detection threshold, and detects the target using the selected characteristic bit frequency.

Next, the arrival angle calculating section 230 estimates the arrival angle of the reflected signal reflected from the target, and confirms the position of the target.

The arrival angle estimation process performed by the arrival angle calculation unit 230 first calculates a correlation matrix. That is, a correlation matrix indicating the position of the target in each of the up-chirp and down-chirp constituting the impulse pulse is calculated.

Next, the arrival angle calculating unit 230 performs correlation matrix averaging to estimate a noise region in the calculated correlation matrix. That is, the correlation matrix is averaged using the number of concatenated pulses consisting of up-chirp and down-chirp.

On the other hand, in the averaging of the correlation matrix, the correlation matrices calculated in the respective impulse pulses are accumulated, and the accumulation result is divided by the number of multiplying pulses to average the correlation matrix.

Next, the signal domain and the noise domain are separated through eigenvalue decomposition of the averaged result of the correlation matrix. That is, eigenvalue decomposition is performed to calculate an eigenvector by separating the signal region and the estimated noise region from the averaged result.

Next, the number of targets is selected from the signal region excluding the noise region in the eigenvector, and the directional angle of inclination with respect to the selected target is estimated.

3 is a flowchart of a method of controlling a low-power-frequency-modulated continuous wave radar system according to a preferred embodiment of the present invention.

Referring to FIG. 3, a control method of a low-power-frequency-modulated continuous wave radar system according to an exemplary embodiment of the present invention includes an intrusion confirmation module : Analog Digital Converter) to receive N sampled data (S100).

The intrusion confirmation module receives N samples as described above and forms sub-samples with N / M samples (S110). Where M is a natural number greater than or equal to 2.

In this way, the intrusion verification module receives N samples and forms N / M sub-samples to reduce the number of samples, thereby reducing the amount of computation in the computation process.

Next, the intrusion confirmation module may lower the level of the interfering signal by using a window function such as a Hamming window or a Chebyshev window (S120).

Generally, in a radar system using a frequency-modulated continuous waveform, it is necessary to estimate a mutation frequency and an additional Doppler spectrum according to each distance in order to remotely detect a moving target, and a baseband or an intermediate frequency band A fast Fourier transform (FFT) technique can be used mainly for the spectrum estimation of FIG.

As is well known, the characteristics of the system may cause the radar antenna to be given a significantly shorter dwell time at which to acquire the reflected signal of the target. In this case, serious side effects such as side-lobes of the interfering signal may be obscured by the information of adjacent adjacent signals, which may lead to serious performance deterioration.

That is, when the reception time of the reflected wave reflected from the target is relatively short, a side leaf of a strong interference signal such as a clutter leaks to the adjacent Doppler filter, and a signal to be detected can be hidden. Here, clutter refers to a reflection obstacle such as echo caused by reflected waves generated from ground, sea surface, raindrops, etc. in a radar.

Accordingly, in one embodiment, it is possible to facilitate the detection of the bit frequency by lowering the side lobe level of the interference signal using various window functions.

Next, the intrusion confirmation module performs fast Fourier transform on the signal whose level of the side lobes of the interference signal is reduced (S130).

Then, the intrusion confirmation module performs a CFAR operation to detect a target (S140).

In other words, the intrusion confirmation module is provided with a high-speed Fourier transformed signal

It is possible to apply a variable detection threshold value to select specific bit frequencies.

The intrusion confirmation module removes the clutter while selecting a meaningful bit frequency while maintaining a constant false alarm rate by applying a variable detection threshold in a variable noise and clutter environment.

These intrusion confirmation modules are classified into CA-CFAR (Cell-Averaging CFAR), OS-CFAR (Order Statistics-CFAR), GO-CFAR Of-CFAR)

All. The intrusion confirmation module determines the distance of the target from the selected bit frequencies,

Velocity and azimuth angle, and it is possible to confirm whether the target (intruder) is present or not (S140).

When the intrusion confirmation module confirms the existence of the target (invader), the location confirmation module performs fast Fourier transform on N samples (S150).

Thereafter, the location confirmation module detects the existence of the target by performing the CFAR operation on the area where the intrusion confirmation module confirms the existence of the target, that is, the local area (S160).

That is, the position determination module can select a specific bit frequency by applying a variable detection threshold to the local area, and detects the target using the selected feature bit frequency.

Next, the position confirmation module estimates the arrival angle of the reflected signal reflected from the target to confirm the position of the target (S170).

The arrival angle estimation process performed by the position determination module first calculates a correlation matrix. That is, a correlation matrix indicating the position of the target in each of the up-chirp and down-chirp constituting the impulse pulse is calculated.

Next, the location confirmation module performs correlation matrix averaging to estimate a noise region in the calculated correlation matrix. That is, the correlation matrix is averaged using the number of concatenated pulses consisting of up-chirp and down-chirp.

On the other hand, in the averaging of the correlation matrix, the correlation matrices calculated in the respective impulse pulses are accumulated, and the accumulation result is divided by the number of multiplying pulses to average the correlation matrix.

Next, the signal domain and the noise domain are separated through eigenvalue decomposition of the averaged result of the correlation matrix. That is, eigenvalue decomposition is performed to calculate an eigenvector by separating the signal region and the estimated noise region from the averaged result.

Next, the number of targets is selected from the signal region excluding the noise region in the eigenvector, and the directional angle of inclination with respect to the selected target is estimated.

In the control method of the low-power-frequency modulated continuous wave radar system according to the preferred embodiment of the present invention, when the intrusion confirmation module confirms the presence of the target, Receiving the sample and lowering the side lobe level of the interference signal.

4 is a flowchart of a method of controlling a low-power-frequency-modulated continuous wave radar system according to another preferred embodiment of the present invention.

Referring to FIG. 4, a control method of a low-power-frequency-modulated continuous wave radar system according to another preferred embodiment of the present invention includes a step of detecting an intruder from a target signal (intruder) : N digital data sampled by an analogue digital converter (S200).

The intrusion confirmation module receives N samples as described above and forms sub-samples with N / M samples (S210). Where M is a natural number greater than or equal to 2.

In this way, the intrusion verification module receives N samples and forms N / M sub-samples to reduce the number of samples, thereby reducing the amount of computation in the computation process.

Next, the intrusion confirmation module may lower the side level of the interference signal by using a window function such as a Hamming window or a Chebyshev window (S220).

Generally, in a radar system using a frequency-modulated continuous waveform, it is necessary to estimate a mutation frequency and an additional Doppler spectrum according to each distance in order to remotely detect a moving target, and a baseband or an intermediate frequency band A fast Fourier transform (FFT) technique can be used mainly for the spectrum estimation of FIG.

As is well known, the characteristics of the system may cause the radar antenna to be given a significantly shorter dwell time at which to acquire the reflected signal of the target. In this case, serious side effects such as side-lobes of the interfering signal may be obscured by the information of adjacent adjacent signals, which may lead to serious performance deterioration.

That is, when the reception time of the reflected wave reflected from the target is relatively short, a side leaf of a strong interference signal such as a clutter leaks to the adjacent Doppler filter, and a signal to be detected can be hidden. Here, clutter refers to a reflection obstacle such as echo caused by reflected waves generated from ground, sea surface, raindrops, etc. in a radar.

Accordingly, in one embodiment, it is possible to facilitate the detection of the bit frequency by lowering the side lobe level of the interference signal using various window functions.

Next, the intrusion confirmation module performs fast Fourier transform on the signal whose level of the side lobes of the interference signal is reduced (S230).

The intrusion confirmation module performs a CFAR operation to detect a target (S240).

Once the intrusion verification module confirms the presence of the target (intruder), the location module uses the window function, such as a Hamming window or a Chebyshev window, The level of the side lobes of the signal can be lowered (S250).

In this manner, the position determination module lowers the level of the side lobes of the interference signal, and subsequently performs fast Fourier transform on N samples (S260).

Thereafter, the positioning module performs a CFAR operation to detect the presence of the target (S270).

That is, the location module may select a specific bit frequency by applying a variable detection threshold, and detect the target using the selected feature bit frequency.

Next, the position confirmation module estimates the arrival angle of the reflected signal reflected from the target to confirm the position of the target (S280).

The arrival angle estimation process performed by the position determination module first calculates a correlation matrix. That is, a correlation matrix indicating the position of the target in each of the up-chirp and down-chirp constituting the impulse pulse is calculated.

Next, the location confirmation module performs correlation matrix averaging to estimate a noise region in the calculated correlation matrix. That is, the correlation matrix is averaged using the number of concatenated pulses consisting of up-chirp and down-chirp.

On the other hand, in the averaging of the correlation matrix, the correlation matrices calculated in the respective impulse pulses are accumulated, and the accumulation result is divided by the number of multiplying pulses to average the correlation matrix.

Next, the signal domain and the noise domain are separated through eigenvalue decomposition of the averaged result of the correlation matrix. That is, eigenvalue decomposition is performed to calculate an eigenvector by separating the signal region and the estimated noise region from the averaged result.

Next, the number of targets is selected from the signal region excluding the noise region in the eigenvector, and the directional angle of inclination with respect to the selected target is estimated.

According to the present invention, it is possible to reduce the number of samples and to check the presence of an intruder and to increase the number of samples so that the presence of an intruder can be ascertained, thereby reducing power consumption.

The foregoing description is merely illustrative of the technical idea of the present invention, and various changes and modifications may be made by those skilled in the art without departing from the essential characteristics of the present invention. Therefore, the embodiments of the present invention are not intended to limit the scope of the present invention but to limit the scope of the present invention. The scope of protection of the present invention should be construed according to the following claims, and all technical ideas within the scope of equivalents thereof should be construed as being included in the scope of the present invention.

100: Intrusion Confirmation Module 110: Subsampler
120: first window function unit 130: first fast Fourier transform unit
140: First CFAR detecting unit 200: Positioning confirmation module
205: second window function unit 210: second fast Fourier transform unit
220: local CFAR detecting unit 220 ': second CFAR detecting unit
230:

Claims (14)

  1. An intrusion confirmation module for receiving N samples from a received signal reflected from a target and extracting N / M sub-samples to confirm presence of a target; And
    And a location confirmation module for receiving the N samples and detecting the presence of the target and calculating the arrival angle of the detected target to calculate the position of the target when the intrusion confirmation module confirms the presence of the target, Low Power Frequency Modulated Continuous Wave Radar System with 2 or more Natural Numbers.
  2. The method according to claim 1,
    The intrusion confirmation module receives N samples from among the received signals reflected from the target, extracts N / M sub-samples, performs fast Fourier transform, performs a CFAR operation to check presence of a target, Radar system.
  3. The method according to claim 2,
    Wherein the intrusion confirmation module comprises: a sub-sampler for receiving N samples from a received signal reflected from a target and extracting N / M sub-samples;
    A first window function unit for lowering the side lobe level of the interference signal with respect to the N / M sub-sample;
    A first fast Fourier transform unit performing fast Fourier transform on an output signal of the first window function unit; And
    And a first CFAR detector for detecting a target by performing a CFAR operation on an output signal of the first FFT unit to confirm existence of a target.
  4. The method according to claim 1,
    When the intrusion confirmation module confirms the presence of the target, the location confirmation module performs fast Fourier transform on N samples, performs CFAR operation to detect the presence of the target, calculates the arrival angle of the detected target A low power frequency modulated continuous wave radar system for calculating the position of a target.
  5. The method of claim 4,
    The location-
    A second fast Fourier transformer for receiving N samples from the received signals reflected from the target and confirming the presence of the target, and performing fast Fourier transform on N samples;
    A local CFAR detecting unit for detecting a target by performing a CFAR operation of a local area on a detection area of a target whose intrusion confirmation module is identified; And
    And an arrival angle calculating unit calculating the arrival angle of the target detected by the local CFAR detecting unit and calculating the position of the target.
  6. The method of claim 5,
    Wherein the position confirmation module is configured to receive N samples of the received signals reflected from the target when the intrusion confirmation module confirms the presence of the target and to provide the N second samples to the second FFT unit 2 < / RTI > window function part.
  7. The method of claim 5,
    The location-
    A second window function unit receiving N samples from the received signals reflected from the target and lowering the level of the side lobe of the interference signal when the intrusion confirmation module confirms the presence of the target;
    A second fast Fourier transform unit performing fast Fourier transform on an output signal of the second window function unit;
    A second CFAR detector for detecting a target by performing a CFAR operation on an output signal of the second FFT unit; And
    And an arrival angle calculating section for calculating an arrival angle of the target detected by the second CFAR detecting section and calculating a position of the target.
  8. (A) confirming the presence of a target by extracting N / M sub-samples by receiving N samples from a received signal reflected from the target and confirming the presence of the target; And
    (B) when the location confirmation module confirms the presence of the target, the presence of the target is detected, and the position of the target is calculated by calculating the arrival angle of the detected target And M is a natural number of 2 or more.
  9. The method of claim 8,
    In the step (A), the intrusion confirmation module receives N samples from the received signals reflected from the target, extracts N / M sub-samples, performs fast Fourier transform, performs CFAR operation, Controlled Low Power Frequency Modulated Continuous Wave Radar System.
  10. The method of claim 9,
    The step (A)
    (A1) extracting N / M sub-samples by receiving N samples from the reception signals reflected from the target and entering the intrusion confirmation module;
    (A2) the intrusion confirmation module lowering the side lobe level of the interference signal for the N / M subsample;
    (A3) performing the fast Fourier transform on the intrusion confirmation module; And
    (A4) A method of controlling a low-power-frequency modulated continuous wave radar system, comprising: performing a CFAR operation on a fast Fourier transformed signal of the intrusion confirmation module to detect a target to confirm presence of a target.
  11. The method of claim 8,
    In the step (B), the positioning module performs fast Fourier transform on N samples, performs CFAR calculation to detect the presence of the target, calculates the arrival angle of the detected target, and calculates the position of the target Control Method of Low Power Frequency Modulated Continuous Wave Radar System.
  12. 12. The method of claim 11,
    The step (B)
    (B1) The positioning module includes: receiving N samples from a received signal reflected from a target and performing fast Fourier transform on N samples;
    (B2) the location confirmation module performs a CFAR operation of the local area on the detection area of the target identified by the intrusion confirmation module to detect the target; And
    (B3) The control method of a low-power-frequency modulated continuous wave radar system, wherein the position determination module calculates a position of a target by calculating an arrival angle of the detected target.
  13. The method of claim 12,
    Wherein the step (B) comprises: before the step (B1)
    Wherein the position confirmation module further includes receiving N samples of the received signals reflected from the target and lowering the side lobe level of the interference signal when the intrusion confirmation module confirms the presence of the target, / RTI >
  14. 12. The method of claim 11,
    The step (B)
    (B1) when the presence confirmation module confirms the existence of the target, receiving the N samples of the received signals reflected from the target and lowering the side lobe level of the interference signal;
    (B2) the positioning module performs fast Fourier transform;
    (B3) detecting the target by performing a CFAR operation on the fast Fourier transformed output signal; And
    (B4) The positioning method of the low-power-frequency modulated continuous wave radar system, wherein the position determination module calculates the position of the target by calculating the arrival angle of the detected target.
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