KR102434426B1 - Method for constructing high-resolution range profile of target in narrowband radar system - Google Patents

Abstract

The method for generating a high-resolution distance profile according to the present invention comprises the steps of: transmitting a plurality of pulses and receiving reflected signals; generating a distance profile based on the reflected signals; detecting a target from the distance profile; extracting reflected signal data values corresponding to the detected target from signals; generating a reflected signal data compensation value of a spectrum in which null exists in the spectrum of the reflected signals when null exists; and generating a high-resolution distance profile based on the reflected signal data values and the reflected signal data compensation value.

Description

Method for constructing high-resolution range profile of target in narrowband radar system

The present invention relates to radar, and more particularly to a method of forming a high-resolution distance profile of a detected target in a narrowband radar system.

Radar systems are being used in various fields for military and industrial purposes in order to determine the existence and location information of a threat target at a long distance using radio waves. Radar has the advantage of being able to detect a target regardless of day, night and weather conditions. The received radar signal includes information about the target, and the one-dimensional scattering point distribution can be utilized to recognize the target.

High-Resolution Range Profile (HRRP), which is one of the one-dimensional radar signatures, is expressed as the sum of phase terms that contain distance information of different scattering points of the target, thereby providing information on the location and size of the scattering points. indicates. A scattering point of the target is extracted using a high-resolution distance profile, and recognition and/or classification of the target may be performed using an inverse synthetic aperture radar (ISAR) image acquisition technique or the like.

However, it is difficult to distinguish the various scattering points of the target due to the low distance resolution in the distance profile obtained in the narrowband radar system. Methods using frequency hopping have been proposed as a method for obtaining a high-resolution distance profile in a narrowband radar system. A high-resolution distance profile can be obtained by one-dimensional inverse digital Fourier transform (IDFT) of RCS (Radar Cross Section, radar reflection area) data for each frequency of the target.

However, there is a case in which RCS data corresponding to a given bandwidth cannot be collected due to external interference or a jamming signal. In this case, when a high-resolution distance profile is obtained by performing the conventional inverse digital Fourier transform, a side lobe level may increase and signal distortion may occur.

An object of the present invention is to provide a method for generating a high-resolution distance profile of a target in a narrowband radar system.

As a technical means for achieving the above-described technical problems, a method for generating a high-resolution distance profile according to an aspect of the present invention includes transmitting a plurality of pulses, receiving reflected signals, and generating a distance profile based on the reflected signals. detecting a target from the distance profile, extracting reflected signal data values corresponding to the detected target from the reflected signals, if null exists in the spectrum of the reflected signals, null generating a reflected signal data compensation value of this existing spectrum, and generating a high resolution distance profile based on the reflected signal data values and the reflected signal data compensation value.

According to an example, the method of generating a high-resolution distance profile may further include determining a center frequency of each of the plurality of pulses.

According to another example, the distance profile may be generated by accumulating the reflected signals non-coherent.

According to another example, the target may be detected when a signal magnitude of the distance profile is greater than a threshold value.

According to another example, the target may be detected by applying a constant false alarm rate (CFAR) algorithm to the distance profile.

According to another example, the reflected signal data compensation value may be generated through an interpolation method using reflected signal data values of at least one spectrum adjacent to the spectrum in which the null exists.

According to another example, the generating of the reflected signal data compensation value may include: determining the number and center frequency of data values to be compensated based on a center frequency of a spectrum adjacent to the spectrum in which the null exists; and estimating the data value to be compensated based on the reflected signal data value of the spectrum and the center frequency of the data value to be compensated.

According to another example, when the center frequencies of the plurality of pulses are equally spaced apart, the high-resolution distance profile may be generated using inverse Fourier transform on the reflected signal data values and the reflected signal data compensation value.

According to another example, when the center frequencies of the plurality of pulses are not equally spaced apart from each other, the high-resolution distance profile includes time domain correlation (TDC) between the reflected signal data values and the reflected signal data compensation value. ) can be created using

The computer program according to an aspect of the present invention is stored in a medium to execute the method for generating a high-resolution distance profile using a computing device.

An apparatus for generating a high-resolution distance profile according to an aspect of the present invention includes a memory and at least one processor. The at least one processor generates a distance profile based on reflected signals reflected from the target by a plurality of pulses, detects a target from the distance profile, and receives a reflected signal data value corresponding to the detected target from the reflected signals. are extracted, and when null exists in the spectrum of the reflected signals, a reflected signal data compensation value of a spectrum in which null exists is generated, and a high resolution based on the reflected signal data values and the reflected signal data compensation value configured to create a distance profile.

According to the present invention, it is possible to obtain a high-resolution distance profile of a target using a low-resolution radar signal of a narrowband radar system. In addition, a high-resolution distance profile can be obtained by compensating a data value using an interpolation technique even for a radar signal received in a sparse frequency environment.

1 is a flowchart illustrating a method of generating a high-resolution distance profile according to an embodiment of the present invention.
2A shows an example of the spectral use of pulses in low-resolution radar.
Figure 2b shows another example of the spectral use of pulses in low-resolution radar.
FIG. 3A shows an example in which null occurs due to a usage restriction on a specific spectrum in the spectrum of the pulses of FIG. 2A .
FIG. 3B shows an example in which null occurs due to a usage restriction on a specific spectrum in the spectrum of the pulses of FIG. 2B .
4 shows pulses transmitted and reflected signals reflected from a target and received according to an embodiment of the present invention.
5 illustrates a distance profile generated using reflected signals according to an embodiment of the present invention.
6 shows an example of a high-resolution distance profile obtained according to an embodiment of the present invention.
7 illustrates an apparatus for generating a high-resolution distance profile according to an embodiment of the present invention.

Hereinafter, various embodiments will be described in detail with reference to the accompanying drawings so that those of ordinary skill in the art to which the present disclosure pertains can easily implement it. However, since the technical spirit of the present disclosure may be modified and implemented in various forms, it is not limited to the embodiments described herein. In the description of the embodiments disclosed in the present specification, when it is determined that a detailed description of a related known technology may obscure the gist of the present disclosure, a detailed description of the known technology will be omitted. The same or similar components are given the same reference numerals, and overlapping descriptions thereof will be omitted.

In the present specification, when an element is described as being "connected" with another element, it includes not only the case of being "directly connected" but also the case of being "indirectly connected" with another element interposed therebetween. When an element "includes" another element, it means that another element may be further included without excluding another element in addition to other elements unless otherwise stated.

Some embodiments may be described in terms of functional block configurations and various processing steps. Some or all of these functional blocks may be implemented in various numbers of hardware and/or software configurations that perform specific functions. For example, the functional blocks of the present disclosure may be implemented by one or more microprocessors, or by circuit configurations for a given function. The functional blocks of the present disclosure may be implemented in various programming or scripting languages. The functional blocks of the present disclosure may be implemented as an algorithm running on one or more processors. Functions performed by a functional block of the present disclosure may be performed by a plurality of functional blocks, or functions performed by a plurality of functional blocks in the present disclosure may be performed by one functional block. Also, the present disclosure may employ prior art for electronic configuration, signal processing, and/or data processing, and the like.

1 is a flowchart illustrating a method of generating a high-resolution distance profile according to an embodiment of the present invention.

According to the present invention, a method for generating a high-resolution distance profile is disclosed in order to confirm the scattering characteristics of a target detected by a low-resolution radar of a narrowband radar system. According to the present invention, even in a sparse frequency environment, after acquiring and/or compensating for frequency-specific characteristics of a target, a high-resolution distance profile may be generated through an inverse Fourier transform or a time-domain correlation (TDC) method.

Referring to Figure 1, the frequency of the narrowband radar system can be planned (S105). In a narrow-band radar system operated as a low-resolution radar, several pulses are transmitted while shifting the center frequency during one burst. In this case, the bandwidth of each pulse may be set to be greater than or equal to the center frequency interval. In step S105, the center frequency of each of the plurality of pulses may be determined. In addition, a bandwidth of each pulse and a center frequency interval between the pulses may be determined for an usable frequency band in step S105 . A plurality of pulses may be included in one burst. Radar systems can transmit in bursts, which are bundles of pulses made up of multiple pulses. It is assumed that n pulses are included in one burst, and the n pulses may be referred to as first to nth pulses. The first pulse refers to the first transmitted pulse in the burst, and the nth pulse refers to the latest transmitted pulse in the burst. n is a natural number greater than 1.

The center frequencies of the first to nth pulses may be sequentially increased or sequentially decreased, and may be mixed without a special rule or randomly. Hereinafter, it is assumed that the center frequencies of the first to nth pulses sequentially increase for easy understanding. However, the present invention can be equally applied even when the center frequencies of the first to nth pulses are mixed.

The center frequency interval between the pulses may be set to be constant, or at least some may be set differently. 2A shows an example of the spectral use of pulses in low-resolution radar. As shown in FIG. 2A , when center frequencies of the first to n-th pulses included in one burst are arranged in order of magnitude, they may all be arranged at regular intervals (eg, 5 MHz, 10 MHz, etc.). All of the first to nth pulses may have the same bandwidth (BW).

Figure 2b shows another example of the spectral use of pulses in low-resolution radar. As shown in FIG. 2B , when center frequencies of the first to nth pulses included in one burst are arranged in order of magnitude, they may be arranged at non-uniform intervals. An interval between some adjacent center frequencies may be 10 MHz, and an interval between some adjacent center frequencies may be 15 MHz. In this case, the bandwidths BW1, ..., BWn of the first to nth pulses may be different from each other. Also, some of the bandwidths BW1, ..., BWn of the first to nth pulses may be the same.

A frequency plan may be stored in advance in the radar system according to the present invention, and in this case, step S105 may be omitted. According to another example, information about a frequency plan in which a center frequency of each of the plurality of pulses is defined may be received from the outside.

Referring back to FIG. 1 , the radar system according to the present invention may transmit pulses according to a frequency plan and receive reflected signals ( S110 ). The first to nth pulses having a center frequency determined by the frequency plan are transmitted at preset time intervals. The preset time interval may be determined based on a detectable distance of the radar system. The preset time interval may be different for each burst. The preset time interval may vary even within a burst.

The transmitted pulse is reflected from the target, and reflected signals reflected from the target can be received. The reflected signals are received between the times during which the first to nth pulses are transmitted. After the first pulse is transmitted, a first reflected signal generated by reflecting the first pulse from the target for a preset time interval is received. When a preset time interval elapses after the first pulse is transmitted, the second pulse is transmitted. After the second pulse is transmitted, a second reflected signal generated by reflecting the second pulse from the target for a preset time interval is received. In this way, the n-th pulse may be transmitted and the n-th reflected signal may be received.

RCS (Radar Cross Section, Radar Reflection Area) data may be generated based on the reflected signals. RCS data may be generated by performing signal processing on the reflected signals. The reflected signals may be the basis for generating RCS data corresponding to each.

The computing device of the radar system according to the present invention may generate a distance profile based on the reflected signals (S120). The distance profile can be created by pulse-compressing the reflected signals. The distance profile may be generated by non-coherent integration (NCI) of the reflected signals. According to another example, by increasing the signal to noise ratio (SNR) by coherent integration of the reflected signals, the target is discriminated to a signal greater than the noise level, and the distance is again performed by non-coherent integration. You can create a profile.

The range profile is, for example, a one-dimensional signal generated using a pulse compression technique for reflected signals, and may provide distance and phase information in the line of sight between the radar and the target. The step of generating the distance profile of step S120 will be described in detail below with reference to FIGS. 4 and 5 .

The computing device of the radar system according to the present invention may detect the target from the distance profile (S130). According to an example, the computing device may compare the signal magnitude of the distance profile with a preset threshold, and, when the signal magnitude of the distance profile is greater than the threshold, detect that the target is located at a corresponding distance. According to another example, the computing device may detect a target by applying a constant false alarm rate (CFAR) algorithm to the distance profile. The CFAR (Constant False Alarm Rate) algorithm is an algorithm that adaptively applies a threshold so that the false detection rate of a target is constant. In addition, various methods for detecting a target using the distance profile generated in step S120 may be used in step S130 .

The computing device of the radar system according to the present invention may extract reflected signal data values corresponding to the detected target from the reflected signals. When the target is detected in step S130, the distance between the radar and the target may be known, and a reflected signal data value corresponding to the corresponding distance may be extracted from the reflected signal. When a plurality of targets are detected in step S130 , a reflected signal data value may be extracted from the reflected signal for each of the plurality of targets.

The computing device of the radar system according to the present invention may determine whether a null exists in the reflected signal spectrum (S140). A reflected wave corresponding to a given spectrum may not be received due to external interference or a jamming signal. For example, when a radio disturbance signal of a specific frequency band exists, even if a pulse of the corresponding frequency band is transmitted and reflected from the target, the reflected signal is received together with the radio disturbance signal, so the reflected signal cannot be distinguished from the radio disturbance signal or the noise signal . With this received signal, the target cannot be detected. In this case, it cannot be determined that null exists in the reflected signal of the corresponding frequency band. The presence of null includes not only a case in which a reflected signal of the corresponding spectral bandwidth is not received, but also a case in which a target cannot be received due to a large amount of noise due to external interference or radio wave disturbance. As such, when the reflected signal is null in at least one spectral frequency band, a problem that a side lobe level increases and signal distortion occurs even when a high-resolution distance profile is generated. The reflected signal data value corresponding to the target is not extracted from the reflected signal of the spectrum in which null exists.

FIG. 3A shows an example in which null occurs due to a usage restriction on a specific spectrum in the spectrum of the pulses of FIG. 2A . As shown in FIG. 3A , a null may exist in the bandwidth of the third pulse. In this case, it means that null exists in the spectrum of the third reflected signal corresponding to the third pulse.

FIG. 3B shows an example in which null occurs due to a usage restriction on a specific spectrum in the spectrum of the pulses of FIG. 2B . As shown in FIG. 3B , nulls may exist in the bandwidth BW3 of the third pulse and the spectrum BWn-1 of the n−1th pulse. In this case, it means that nulls exist in the spectrum of the third reflected signal and the spectrum of the n-1 th reflected signal. As such, there may be one spectrum in which nulls exist, or two or more spectrums.

Referring back to FIG. 1 , when it is determined that null exists in the reflected signal spectrum, the computing device of the radar system according to the present invention may generate a reflected signal data compensation value of the spectrum in which null exists (S150). ). According to an example, the reflected signal data compensation value of the spectrum in which the null exists may be generated based on the reflected signal data value of at least one spectrum adjacent to the spectrum in which the null exists. For example, the reflected signal data compensation value of the spectrum in which the null exists may be generated through an interpolation method using the reflected signal data value of at least one spectrum adjacent to the spectrum in which the null exists.

At least one spectrum adjacent to the spectrum in which the null exists may be a total of two spectrums adjacent in both directions of the spectrum in which the null exists, or a total of four spectrums adjacent to the spectrum in both directions. According to another example, at least one spectrum adjacent to this existing spectrum may be one spectrum adjacent to one direction.

The reflected signal data compensation value of the spectrum in which the null exists may be determined as an average value of reflected signal data values of a plurality of spectra adjacent to the spectrum in which the null exists or a weighted average value using a preset weight.

According to another embodiment, the computing device of the radar system according to the present invention determines the number and center frequency of data values to be compensated based on the center frequency of the spectrum adjacent to the spectrum in which the null exists, and the reflected signal data value of the adjacent spectrum. , and a data value to be compensated may be estimated based on the center frequency of the data value to be compensated. According to this example, even if a null occurs in a spectrum corresponding to one reflected signal, two or more reflected signal data compensation values can be generated, and the reflected signal data compensation value is the center frequency of the reflected signal data compensation value to be generated and It may be generated based on the reflected signal data value of the adjacent spectrum. In this case, the interpolation technique can also be applied.

When the computing device of the radar system according to the present invention determines that there is no null in the reflected signal spectrum, there is no need to generate the reflected signal data compensation value, so step S150 may be omitted.

The computing device of the radar system according to the present invention may determine whether the center frequencies of the pulses are equally spaced apart from each other based on the frequency plan generated in step S105 (S160).

The computing device of the radar system according to the present invention performs an inverse Fourier transform on the reflected signal data values of the spectrum in which nulls do not exist and the reflected signal data compensation values of the spectrum in which nulls exist when the center frequencies of a plurality of pulses are equally spaced apart. It can be applied (S170). The reflected signal data values and the reflected signal data compensation value each have corresponding center frequencies, and a high-resolution distance profile can be generated by applying an inverse Fourier transform to the reflected signal data values, the reflected signal data compensation value, and their center frequencies. (S180).

As described above, data values are collected for each reflected signal with respect to the detected target. As shown in FIG. 3A , when the center frequencies for each pulse are equally spaced, a high-resolution distance profile can be obtained through inverse Fourier transform. When transmitting a waveform with a bandwidth of Δf per pulse, the resolution of the final high-resolution distance profile is determined by n*Δf, and the range of the high-resolution distance profile is ±c/(2Δf) around the distance of the target. to be. where c is the speed of light.

The computing device of the radar system according to the present invention, when the center frequencies of the plurality of pulses are not spaced at equal intervals, in the time domain A correlation (TDC, Time Domain Correlation) may be applied (S175). The reflected signal data values and the reflected signal data compensation value each have corresponding center frequencies, and time domain correlation (TDC) is applied to the reflected signal data values, the reflected signal data compensation values, and their center frequencies. By doing so, a high-resolution distance profile can be generated (S180).

As shown in FIG. 3B , when bandwidths for each pulse are different, a high-resolution distance profile can be obtained through a time-domain correlation method. Assuming that the target position is Δr _i , the distance profile of the corresponding position correlates the reference function in the time domain and can be expressed as the following equation according to Parseval theory.

Here, s is the received signal, and ω is the angular frequency. r ₀ is distance information of a target detected on a distance profile obtained through asynchronous accumulation, and Δr _i indicates the position of the target within r ₀ .

4 shows pulses transmitted and reflected signals reflected from a target and received according to an embodiment of the present invention. 5 illustrates a distance profile generated using reflected signals according to an embodiment of the present invention.

Referring to FIG. 4 , when the burst starts, after the first pulse is transmitted, the first reflected signal is received during the first reflected signal reception section. The first reflected signal reception period may be determined based on a detection distance of the radar system. After the first reflected signal reception period, the second pulse is transmitted. After the second reflected signal is transmitted, the second reflected signal is received in the second reflected signal reception section. The second reflected signal receiving section may have the same length of time as the first reflected signal receiving section.

A third pulse may then be transmitted. External interference or radio wave disturbance may exist in the bandwidth of the third pulse, so that the third reflected signal may not be received. In this way, up to the nth pulse may be transmitted, and up to the nth reflected signal may be received. In this example, it is assumed that the fourth to nth reflected signals are normally received.

Referring to FIG. 5 , a distance profile may be generated based on the first, second, and fourth to nth reflection signals. A distance profile may be generated by performing asynchronous accumulation on the first, second, fourth to nth reflected signals. A target may be detected by performing step S130 of FIG. 1 with respect to the distance profile. For example, a plurality of targets may be detected, and it is assumed in FIG. 5 that a target separated by a kth distance from the radar is detected. By comparing the signal level of the distance profile with a threshold value capable of distinguishing noise, it may be determined that the target is located at a position where the signal level is greater than the threshold value.

When the target is detected, data values corresponding to the corresponding distances may be extracted from the first, second, fourth to n-th reflected signals, and this value may be referred to as a reflected signal data value. The first reflected signal data value is represented by R1[k], the second reflected signal data value is represented by R2[k], the fourth reflected signal data value is represented by R4[k], and the nth reflected signal data is represented by R4[k]. The value is expressed as Rn[k].

In the case of a third reflected signal that is not received due to the presence of null in the spectrum, for example, the third reflected signal using the data value R2[k] of the second reflected signal and the data value R4[k] of the fourth reflected signal is used. The data correction value of the reflected signal can be estimated. For example, the data correction value of the third reflected signal may be estimated as an average value of the data value R2[k] of the second reflected signal and the data value R4[k] of the fourth reflected signal. According to another example, when the difference between the center frequencies of the second reflected signal and the third reflected signal is twice the difference between the center frequencies of the third reflected signal and the fourth reflected signal, the data correction value of the third reflected signal is It may be estimated as a weighted average value of the data value R2[k] of the second reflection signal and the data value R4[k] of the fourth reflection signal, and the weight may be inversely proportional to the difference between the center frequencies.

delete

When the data values of the first, second, fourth to nth reflection signals and the data correction value of the third reflection signal are generated as described above, the data values of the first, second, fourth to nth reflection signals and the third A high-resolution distance profile may be generated by applying inverse Fourier transform or Time Domain Correlation (TDC) to center frequencies of the first to nth reflected signals together with the data correction value of the reflected signal.

6 shows an example of a high-resolution distance profile obtained according to an embodiment of the present invention.

Referring to FIG. 6 , high-resolution distance profiles are shown when there is one target.

The solid blue line is the high-resolution distance profile when there are no nulls in all spectra because there is no external interference or jamming. The black dotted line indicates a high-resolution distance profile generated according to the time-domain correlation method when nulls exist in two spectra due to external interference or jamming. The red solid line indicates a high-resolution distance profile generated after compensating data values corresponding to two reflected signals through an interpolation technique according to the present invention when nulls exist in some spectra due to external interference or jamming.

As shown in FIG. 6 , it can be seen that the black dotted line significantly increases the noise level compared to the blue solid line. The solid red line representing the high-resolution distance profile generated according to the present invention significantly reduced the noise level, and it was confirmed that the noise level was similar while maintaining the distance resolution similar to that of the blue solid line compared to the black dotted line.

According to the method of the present invention, it is possible to obtain a high-resolution distance profile of a target using a low-resolution radar. In addition, it was confirmed that a high-resolution distance profile can be obtained after compensating for the data through the interpolation method even in a poor frequency environment where a specific spectrum cannot be used.

7 illustrates an apparatus for generating a high-resolution distance profile according to an embodiment of the present invention.

Referring to FIG. 7 , in an embodiment, the high-resolution distance profile generating apparatus 100 may include a memory 110 , a processor 120 , a communication module 130 , and an input/output interface 140 .

The memory 110 is a computer-readable recording medium and may include a random access memory (RAM), a read only memory (ROM), and a permanent mass storage device such as a disk drive. Also, a program code for controlling the high-resolution distance profile generating apparatus 100 may be temporarily or permanently stored in the memory 110 . Frequency planning information may be stored in the memory 110 .

The processor 120 may be configured to process instructions of a computer program by performing basic arithmetic, logic, and input/output operations. The instructions may be provided to the processor 120 by the memory 110 or the communication module 130 . For example, the processor 120 may be configured to execute a received instruction according to a program code stored in a recording device such as the memory 110 . In an embodiment, the processor 120 of the high-resolution distance profile generating apparatus 100 transmits a plurality of pulses, receives reflected signals, generates a distance profile based on the reflected signals, and selects a target from the distance profile. detecting, extracting reflected signal data values corresponding to the detected target from the reflected signals, and when null exists in the spectrum of the reflected signals, a reflected signal data compensation value of the spectrum in which null exists and generate a high-resolution distance profile based on the reflected signal data values and the reflected signal data compensation value.

The communication module 130 may provide a function for communicating with an external server through a network. For example, a request generated by the processor 120 of the high-resolution distance profile generating apparatus 100 according to a program code stored in a recording device such as the memory 110 is transmitted to an external server through a network under the control of the communication module 130 . can be transmitted. Conversely, a control signal, command, content, file, etc. provided under the control of the processor of the external server may be received by the high-resolution distance profile generating apparatus 100 through the communication module 130 through the network. For example, a control signal or command of an external server received through the communication module 130 may be transmitted to the processor 120 or the memory 110 , and the content or file may be transmitted to the high-resolution distance profile generating apparatus 100 by the apparatus 100 . It may be stored as a storage medium that may further include.

According to an example, the processor 120 of the high-resolution distance profile generating apparatus 100 may receive frequency planning information and information about the reflected signals received by the radar after the pulses are reflected from the target through the communication module 130. have. The communication method is not limited, and not only a communication method using a communication network (eg, a mobile communication network, a wired Internet, a wireless Internet, a broadcasting network) that the network may include, but also short-range wireless communication between devices may be included. For example, the network is a personal area network (PAN), a local area network (LAN), a campus area network (CAN), a metropolitan area network (MAN), a wide area network (WAN), a broadband network (BBN), the Internet, etc. may include any one or more of the networks of Further, the network may include, but is not limited to, any one or more of a network topology including, but not limited to, a bus network, a star network, a ring network, a mesh network, a star-bus network, a tree or a hierarchical network, and the like. .

The communication module 130 may communicate with an external server through a wireless network. Although the communication method is not limited, the network may be a local area wireless network. For example, the network may be a Bluetooth (Bluetooth), BLE (Bluetooth Low Energy), or Wifi communication network.

The input/output interface 140 may be a means for an interface with an input/output device. For example, the input device may include a device such as a keyboard or mouse, and the output device may include a device such as a display for displaying a communication session of an application. As another example, the input/output interface 140 may be a means for an interface with a device in which functions for input and output are integrated into one, such as a touch screen. For example, the processor 120 of the high-resolution distance profile generating apparatus 100 may display a data processing result generated by processing a command of a computer program loaded from the memory 110 on the display through the input/output interface 140 . have.

The processor 120 may control the high-resolution distance profile generating apparatus 100 to perform the high-resolution distance profile generating method described above with reference to FIG. 1 . For example, the processor 120 and components of the processor 120 may be implemented to execute instructions according to the code of the operating system included in the memory 110 and the code of at least one program. Here, the components of the processor 120 are functions of different functions of the processor 120 performed by the processor 120 according to instructions provided by the program code stored in the high-resolution distance profile generating apparatus 100 . can be expressions.

The various embodiments described herein are illustrative, and do not need to be performed independently of each other. The embodiments described in this specification may be implemented in combination with each other.

The various embodiments described above may be implemented in the form of a computer program that can be executed through various components on a computer, and such a computer program may be recorded in a computer-readable medium. In this case, the medium may be to continuously store the program executable by the computer, or to temporarily store the program for execution or download. In addition, the medium may be various recording means or storage means in the form of a single or several hardware combined, it is not limited to a medium directly connected to any computer system, and may exist distributed on a network. Examples of the medium include a hard disk, a magnetic medium such as a floppy disk and a magnetic tape, an optical recording medium such as CD-ROM and DVD, a magneto-optical medium such as a floppy disk, and those configured to store program instructions, including ROM, RAM, flash memory, and the like. In addition, examples of other media may include recording media or storage media managed by an app store that distributes applications, sites that supply or distribute various other software, or servers.

In this specification, "unit", "module", etc. may be a hardware component such as a processor or circuit, and/or a software component executed by a hardware component such as a processor. For example, “part”, “module” and the like refer to components such as software components, object-oriented software components, class components and task components, processes, functions, properties, It may be implemented by procedures, subroutines, segments of program code, drivers, firmware, microcode, circuitry, data, database, data structures, tables, arrays and variables.

The above description of the present invention is for illustration, and those of ordinary skill in the art to which the present invention pertains can understand that it can be easily modified into other specific forms without changing the technical spirit or essential features of the present invention. will be. Therefore, it should be understood that the embodiments described above are illustrative in all respects and not restrictive. For example, each component described as a single type may be implemented in a distributed manner, and likewise components described as distributed may also be implemented in a combined form.

The scope of the present invention is indicated by the following claims rather than the above detailed description, and all changes or modifications derived from the meaning and scope of the claims and their equivalents should be interpreted as being included in the scope of the present invention. do.

Claims (11)

transmitting, by the radar system, a plurality of pulses and receiving reflected signals;
generating, by the computing device of the radar system, a distance profile based on the reflected signals;
detecting, by the computing device, a target from the distance profile;
extracting, by the computing device, reflected signal data values corresponding to the detected target from the reflected signals;
generating, by the computing device, a reflected signal data compensation value of a spectrum in which a null exists when a null exists in the spectrum of the reflected signals; and
generating, by the computing device, a high-resolution distance profile based on the reflected signal data values and the reflected signal data compensation value;
The step of generating the reflected signal data compensation value comprises:
determining the number and center frequency of data values to be compensated based on a center frequency of a spectrum adjacent to the spectrum in which the null exists; and
and estimating the data value to be compensated based on the reflected signal data value of the adjacent spectrum and the center frequency of the data value to be compensated. The method of claim 1,
The method of generating a high-resolution distance profile further comprising determining a center frequency of each of the plurality of pulses. The method of claim 1,
wherein the distance profile is generated by accumulating the reflected signals non-coherent. The method of claim 1,
The method of claim 1, wherein the target is detected when the signal magnitude of the distance profile is greater than a threshold value. The method of claim 1,
The high-resolution distance profile generating method, characterized in that the target is detected by applying a CFAR (Constant False Alarm Rate) algorithm to the distance profile. The method of claim 1,
The reflected signal data compensation value is generated through an interpolation method using a reflected signal data value of at least one spectrum adjacent to the spectrum in which the null exists. delete The method of claim 1,
The high-resolution distance profile is generated by using an inverse Fourier transform on the reflected signal data values and the reflected signal data compensation value when the center frequencies of the plurality of pulses are equally spaced apart. The method of claim 1,
The high-resolution distance profile is generated by using time domain correlation (TDC) on the reflected signal data values and the reflected signal data compensation value when the center frequencies of the plurality of pulses are not equally spaced apart. A method of generating a high-resolution distance profile, characterized in that. using a computing device,
generating a distance profile based on reflected signals reflected from the target by the plurality of pulses;
detecting a target from the distance profile;
extracting reflected signal data values corresponding to the detected target from the reflected signals;
generating a reflected signal data compensation value of a spectrum in which null exists when a null exists in the spectrum of the reflected signals; and
generating a high-resolution distance profile based on the reflected signal data values and the reflected signal data compensation value;
The step of generating the reflected signal data compensation value comprises:
determining the number and center frequency of data values to be compensated based on a center frequency of a spectrum adjacent to the spectrum in which the null exists; and
A computer stored in a medium to execute a method for generating a high-resolution distance profile comprising the step of estimating the data value to be compensated based on the reflected signal data value of the adjacent spectrum and the center frequency of the data value to be compensated program. Memory; and
a plurality of pulses generate a distance profile based on reflected signals reflected from the target, detect the target from the distance profile, and extract reflected signal data values corresponding to the detected target from the reflected signals, When null exists in the spectrum of the reflected signals, the number and center frequency of the data values to be compensated are determined based on the center frequency of the spectrum adjacent to the spectrum in which the null exists, and reflected signal data of the adjacent spectrum estimating the data value to be compensated based on a value and a center frequency of the data value to be compensated, and generating a reflection signal data compensation value of the spectrum in which the null exists based on the estimated data value to be compensated; and at least one processor configured to generate a high resolution distance profile based on reflected signal data values and the reflected signal data compensation value.

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