CN112698316B - Method for improving radar ranging accuracy based on improved gravity center interpolation - Google Patents

Method for improving radar ranging accuracy based on improved gravity center interpolation Download PDF

Info

Publication number
CN112698316B
CN112698316B CN202011448021.1A CN202011448021A CN112698316B CN 112698316 B CN112698316 B CN 112698316B CN 202011448021 A CN202011448021 A CN 202011448021A CN 112698316 B CN112698316 B CN 112698316B
Authority
CN
China
Prior art keywords
sampling
pulse pressure
time
gravity center
echo
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202011448021.1A
Other languages
Chinese (zh)
Other versions
CN112698316A (en
Inventor
马兰
李照照
扈月松
杨雪林
井伟
路鲲鹏
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Xi'an Changyuan Electron Engineering Co ltd
Xian Electronic Engineering Research Institute
Original Assignee
Xian Electronic Engineering Research Institute
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Xian Electronic Engineering Research Institute filed Critical Xian Electronic Engineering Research Institute
Priority to CN202011448021.1A priority Critical patent/CN112698316B/en
Publication of CN112698316A publication Critical patent/CN112698316A/en
Application granted granted Critical
Publication of CN112698316B publication Critical patent/CN112698316B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • 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
    • 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
    • G01S7/28Details of pulse systems
    • G01S7/285Receivers
    • G01S7/292Extracting wanted echo-signals
    • 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
    • G01S7/41Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00 using analysis of echo signal for target characterisation; Target signature; Target cross-section
    • G01S7/418Theoretical aspects
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02ATECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A90/00Technologies having an indirect contribution to adaptation to climate change
    • Y02A90/10Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

Landscapes

  • Engineering & Computer Science (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Radar Systems Or Details Thereof (AREA)

Abstract

The invention relates to a method for improving radar ranging accuracy based on improved gravity center interpolation, and belongs to the technical field of pulse method radar ranging. In combination with a priori information, when the time width, bandwidth and window functions are selected, both the transmit signal waveform and echo pulse compression results are determined. And under the radar parameter design and without noise, selecting a higher sampling rate for simulation experiments to obtain the one-to-one correspondence between the amplitude ratio of the sampling maximum value and the next-largest value point at different positions in the main lobe of the pulse pressure result according to the time sequence and the peak position of the pulse pressure waveform. And then, the corresponding relation is utilized to conduct gravity center interpolation processing on the sampling maximum value and the next-largest value point in the main lobe of the pulse pressure result under the actual sampling rate and with noise, so that more accurate estimation of pulse pressure waveform peak time is realized. Experimental results show that the improved gravity center interpolation method provided by the invention can obviously reduce the distance quantization error and improve the radar ranging accuracy.

Description

Method for improving radar ranging accuracy based on improved gravity center interpolation
Technical Field
The invention belongs to the technical field of pulse method radar ranging, in particular to a method for improving radar ranging accuracy based on improved gravity center interpolation, which is used for reducing distance quantization error during radar ranging and improving radar ranging accuracy.
Background
The most basic task of the radar is to detect a target and measure the distance of the target, namely, the target is found and positioned by utilizing the reflection of electromagnetic waves by the target, and the ranging accuracy is one of important performance indexes of the radar.
The radio wave propagates straight in a uniform medium at a fixed speed (the propagation speed in free space is approximately equal to the speed of light), and the distance of the target to the radar station can be obtained by measuring the time required for the wave to make a round trip, which is the delay of the echo with respect to the transmitted signal, and thus the distance of the target is measured accurately. Depending on the radar emission signal, pulse methods, frequency methods, and phase methods are generally used to determine the delay time.
The invention is mainly aimed at pulse ranging. Pulse method distance measurement is to find the distance unit number corresponding to the maximum point according to the power spectrum curve after pulse pressure processing is performed on the target echo, so as to determine the target distance. However, the LFM signal is added with gaussian white noise to perform pulse compression to obtain pulse pressure results, which are a series of discrete sampling points, and in order to reduce the distance quantization error, interpolation estimation needs to be performed on the peak time of the echo pulse pressure waveform. The traditional barycenter interpolation method utilizes the amplitude information and the position information of the maximum value and the next maximum value sampling points in the echo pulse pressure result to directly conduct barycenter interpolation to estimate the peak position. The method has the defects of larger inherent error and incapability of meeting the situation with higher requirements on the distance measurement precision, so the method for researching and reducing the distance quantization error is an important content for researching the radar distance measurement technology.
Disclosure of Invention
Technical problem to be solved
In order to solve the problem of inherent errors generated in the process of estimating the echo peak position by gravity center interpolation in the prior art and improve the ranging precision, the invention provides a method for improving the radar ranging precision based on improved gravity center interpolation.
Technical proposal
A method for improving radar ranging accuracy based on improved gravity center interpolation is characterized by comprising the following steps:
step 1: time width T, bandwidth B, sampling rate f selected in a given project s1 And window function information, selecting a higher sampling rate f without adding noise s2 At f s2 Obtaining near continuous echo pulse pressure waveform through simulation experiment, and simultaneously using the real sampling rate f for sampling time s1 Normalizing to a sampling time unit; peak time unit t 'of pulse pressure waveform with near continuous echo' max For the centre, two sampling time intervals (2*1/f s1 ) Pulse pressure waveforms within;
step 2: at the actual sampling rate f on the echo pulse pressure waveform selected in step 1 s1 Determining sampling intervals
Figure BDA0002825496820000021
Sequentially taking two sampling points, so that the sampling points are distributed over the selected pulse pressure waveform; sampling time units t 'corresponding to the two sampling points are sequentially arranged according to time sequence' 1 、t′ 2 And amplitude ratio->
Figure BDA0002825496820000022
The values are recorded; simultaneously and sequentially calculating the distribution t 'of the sampling points' 1 、t′ 2 And waveform peak time unit t' max The positional relationship between, i.e. the ideal amplitude ratio +.>
Figure BDA0002825496820000023
Obtaining the amplitude ratio of the sampling points
Figure BDA0002825496820000024
Ratio to ideal amplitude->
Figure BDA0002825496820000025
One-to-one correspondence of (a) and recording the data;
step 3: for actual radar parameter time width T, bandwidth B and sampling rate f s1 And carrying out gravity center interpolation processing on the sampling maximum value and the next maximum value point of the echo pulse pressure result under the window function and with noise; let the twoThe sampling time units corresponding to the sampling points according to the time sequence are respectively t 1 、t 2 The amplitude ratio is
Figure BDA0002825496820000026
Finding the Q value closest to Q' according to the data record in the step 2, and recording the K value corresponding to the Q value at the moment; calculating echo peak time unit according to gravity center method interpolation formula
Figure BDA0002825496820000027
Step 4: converting echo peak time units to peak time, i.e. t max The corresponding sampling time is t max /f s1
The technical scheme of the invention is as follows: f in step 1 s2 =40f s1
The technical scheme of the invention is as follows: and in the step 2, the execution times of the two sampling points are 6 times in sequence.
The technical scheme of the invention is as follows: the actual signal in step 3 is the LFM signal.
Advantageous effects
The method for improving radar ranging accuracy based on improved gravity center interpolation combines prior information, and when the time width T, the bandwidth B and the window function are selected, the transmitted signal waveform and the echo pulse compression result are determined. And under the radar parameter design and without noise, selecting a higher sampling rate for simulation experiments to obtain the one-to-one correspondence between the amplitude ratio of the sampling maximum value and the next-largest value point at different positions in the main lobe of the pulse pressure result and the peak position of the pulse pressure waveform. And then, the corresponding relation is utilized to conduct gravity center interpolation processing on the sampling maximum value and the next-largest value point in the main lobe of the pulse pressure result under the actual sampling rate and with noise, so that more accurate estimation of pulse pressure waveform peak time is realized. Experimental results show that the improved gravity center interpolation method provided by the invention can obviously reduce the distance quantization error and improve the radar ranging accuracy.
Drawings
FIG. 1 is a schematic diagram of the gravity interpolation algorithm used in the present invention
FIG. 2 is a schematic diagram of the main lobe waveform of the result of pulse pressure of selected echo when using the present invention
FIG. 3 is a schematic diagram showing the amplitude relationship between the maximum and the next-maximum values in the pulse pressure results of the actual echo signals using the present invention
FIG. 4 is a schematic diagram showing analysis of the relationship between the position of the sampling point and the position of the peak value using the present invention
FIG. 5 is a graph showing the analysis of the amplitude ratio of sampling points corresponding to the same sampling position at different SNRs using the present invention
FIG. 6 is a flow chart of an echo pulse pressure result peak time estimation using the present invention
FIG. 7 is a graph showing the variation of the distance quantization error with SNR for different offsets of the sampling point from the echo peak position using the present invention
Detailed Description
The invention will now be further described with reference to examples, figures:
the invention utilizes prior information, and when the time width T, the bandwidth B and the window function are selected, the transmitted signal waveform and the echo pulse compression result are determined. In the radar parameter design, a higher sampling rate f is first selected without adding noise s2 And obtaining the approximately continuous echo pulse pressure waveform through a simulation experiment. At the actual sampling rate f within the main lobe of the near continuous echo pulse pressure waveform s1 Determining sampling intervals
Figure BDA0002825496820000031
Two sampling points are sequentially taken, so that the sampling points are distributed over the main lobe of the pulse pressure waveform. Sampling time units t 'corresponding to the two sampling points are sequentially arranged according to time sequence' 1 、t′ 2 And amplitude ratio->
Figure BDA0002825496820000041
The values are recorded. Will be higher sampling rate f s2 The lower near continuous echo pulse pressure waveform peak time unit is defined as t' max Calculating the point position distribution t 'of various sampling maximum values and the next-largest value points' 1 、t′ 2 At the peak of waveformThe interunit t' max Positional relationship between the two. Let the ideal amplitude ratio
Figure BDA0002825496820000042
Obtaining the amplitude ratio of the sampling point->
Figure BDA0002825496820000043
Ratio to ideal amplitude->
Figure BDA0002825496820000044
One-to-one correspondence of (a). Assuming the actual sampling rate f s1 Sampling time units corresponding to two sampling points of maximum value and second maximum value in echo pulse pressure result with noise are respectively t according to time sequence 1 、t 2 The amplitude values are y respectively 1 、y 2 Calculating the amplitude ratio +.>
Figure BDA0002825496820000045
Referring to fig. 5, the simulation result shows that the error between the Q ' value and the Q value at the corresponding position is small, so that the Q ' value at this time can be compared with the Q value to find the Q value closest to the Q '. The Q value and the K value are in one-to-one correspondence, and the gravity center interpolation calculation can be performed by combining the K value at the moment, so that the echo peak time +.>
Figure BDA0002825496820000046
In the process of the invention, the experimental parameter design bandwidth B is 2MHz, and the sampling rate f s1 For 2.5MHz, the window function selects the Hamming window by sampling at a higher sampling rate f s2 Simulation analysis is performed at 100MHz to obtain an echo peak time unit of t' max 24, so that the sampling interval selected in the main lobe of the approximately continuous echo pulse pressure waveform is taken into account in order to ensure that the position distribution of the various sampling maxima and sub-maxima in practice is taken into account to be [23, 25]Combined with sampling rate f s1 And f s2 Is known from the relation of (1) at the actual sampling rate f s1 Determining sampling intervals
Figure BDA0002825496820000047
After that, there are 41 cases in which the positional relationship between the maximum value and the next-maximum value point is sampled. Various sample maximum and next-maximum point distributions t' 1 、t′ 2 And waveform peak time unit t' max The positional relationship between the two and the amplitude ratio experimental results at this time are shown in table 1. The data in Table 1 is used as prior information, the value range of the SNR is set to be 10-30 dB in the experiment, and the actual sampling rate f is used s1 The amplitude ratio of the sampled maximum value and the next maximum value with noise according to the time sequence +.>
Figure BDA0002825496820000048
Comparing with the data in table 1, finding the Q value closest to Q', and then carrying out gravity center interpolation processing on the sampling maximum value and the next largest value by using the K value corresponding to the Q value at the moment to estimate an echo peak time unit. Experimental data show that after interpolation processing is carried out by the method provided by the patent, when the SNR is only 10dB, the maximum value of the distance quantization error is controlled to be about 12m, and the radar ranging accuracy is obviously improved.
TABLE 1 analysis of the relationship between sample point amplitude ratio and ideal amplitude ratio
Figure BDA0002825496820000051
As shown in fig. 6, the method specifically comprises the following steps:
step 1, selecting time width T, bandwidth B and sampling rate f in given engineering s1 And window function information, selecting a higher sampling rate f without adding noise s2 (f s2 ≈40f s1 ) At f s2 Obtaining near continuous echo pulse pressure waveform through simulation experiment, and simultaneously using the real sampling rate f for sampling time s1 Normalized to a sample time unit. Since there are typically only two sampling points within the 3dB beamwidth, the peak time unit t 'of the pulse pressure waveform is represented as an approximately continuous echo' max For the centre, two sampling time intervals (2*1/f s1 ) The pulse pressure waveform in the inner part is analyzed. Such asUnder the radar parameters, t 'is obtained through simulation experiments' max The value is 24, the main lobe interval of the selected pulse pressure waveform is [23, 25]See fig. 2;
step 2, the echo pulse pressure waveform selected in step 1 is sampled at the actual sampling rate f s1 Determining sampling intervals
Figure BDA0002825496820000052
Two sampling points are taken in sequence so that the sampling points are spread over the selected pulse pressure waveform, see fig. 3. Sampling time units t 'corresponding to the two sampling points are sequentially arranged according to time sequence' 1 、t′ 2 And amplitude ratio->
Figure BDA0002825496820000053
The values are recorded. Simultaneously and sequentially calculating the distribution t 'of the sampling points' 1 、t′ 2 And waveform peak time unit t' max The positional relationship between them, see FIG. 4, i.e. ideal amplitude ratio +.>
Figure BDA0002825496820000061
Obtaining the amplitude ratio of the sampling point->
Figure BDA0002825496820000062
Ratio to ideal amplitude->
Figure BDA0002825496820000063
And records the data. For example, under the radar parameters described above, the corresponding relationship data is obtained as shown in table 1;
step 3, for the actual radar parameter time width T, bandwidth B and sampling rate f s1 And carrying out gravity center interpolation processing on the sampling maximum value and the next maximum value point of the echo pulse pressure result under the window function and with noise. The sampling time units corresponding to the two sampling points according to the time sequence are respectively t 1 、t 2 The amplitude ratio is
Figure BDA0002825496820000064
Based on the data statistics in step 2,the Q value closest to Q' is found, and the K value corresponding to the Q value at that time is recorded. Calculating echo peak time unit according to gravity center method interpolation formula
Figure BDA0002825496820000065
And 4, converting the echo peak time unit into peak time. Since the sampling time unit is a real sampling rate f s1 The sampling time is normalized, so t is obtained in the step 3 max The corresponding sampling time is t max /f s1
Referring to fig. 7, under the radar parameter design described above, when the SNR is between 10 and 30dB, the generated distance quantization error is reduced from 12m to 0.9m, which significantly improves the ranging accuracy and meets the requirements of practical engineering.
The interpolation method for reducing the distance quantization error during radar ranging provided by the invention has been applied in engineering practice, and has obvious effects. The invention carries out improved gravity center interpolation processing by taking only the maximum value and the next maximum value sampling points in the main lobe of the echo pulse pressure result, and predicts the echo peak time, thereby realizing the reduction of the distance quantization error. The method solves the problem of inherent errors generated in the process of estimating the echo peak position by gravity center interpolation in the prior art.

Claims (4)

1. A method for improving radar ranging accuracy based on improved gravity center interpolation is characterized by comprising the following steps:
step 1: time width T, bandwidth B, sampling rate f selected in a given project s1 And window function information, selecting a higher sampling rate f without adding noise s2 At f s2 Obtaining near continuous echo pulse pressure waveform through simulation experiment, and simultaneously using the real sampling rate f for sampling time s1 Normalizing to a sampling time unit; peak time unit t 'of pulse pressure waveform with near continuous echo' max For the center, two sampling time intervals 2*1/f are selected s1 Pulse pressure waveforms within;
step 2: in step 1 selectThe actual sampling rate f is carried out on the obtained echo pulse pressure waveform s1 Determining sampling intervals
Figure QLYQS_1
Sequentially taking two sampling points, so that the sampling points are distributed over the selected pulse pressure waveform; sampling time units t 'corresponding to the two sampling points are sequentially arranged according to time sequence' 1 、t′ 2 And amplitude ratio->
Figure QLYQS_2
The values are recorded; simultaneously and sequentially calculating the distribution t 'of the sampling points' 1 、t′ 2 And waveform peak time unit t' max The positional relationship between, i.e. the ideal amplitude ratio +.>
Figure QLYQS_3
Obtaining the amplitude ratio of the sampling point->
Figure QLYQS_4
Ratio to ideal amplitude->
Figure QLYQS_5
One-to-one correspondence of (a) and recording the data;
step 3: for actual radar parameter time width T, bandwidth B and sampling rate f s1 And carrying out gravity center interpolation processing on the sampling maximum value and the next maximum value point of the echo pulse pressure result under the window function and with noise; the sampling time units corresponding to the two sampling points according to the time sequence are respectively t 1 、t 2 The amplitude ratio is
Figure QLYQS_6
Finding the Q value closest to Q' according to the data record in the step 2, and recording the K value corresponding to the Q value at the moment; calculating echo peak time unit according to gravity center interpolation formula>
Figure QLYQS_7
Step 4: peak echo time unitConversion to peak time, i.e. t max The corresponding sampling time is t max /f s1
2. The method for improving radar ranging accuracy based on improved center of gravity interpolation according to claim 1, wherein f in step 1 s2 =40f s1
3. The method for improving radar ranging accuracy based on improved center of gravity interpolation according to claim 1, wherein the number of execution times of sequentially taking two sampling points in step 2 is 6.
4. The method of claim 1, wherein the actual signal in step 3 is an LFM signal.
CN202011448021.1A 2020-12-09 2020-12-09 Method for improving radar ranging accuracy based on improved gravity center interpolation Active CN112698316B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202011448021.1A CN112698316B (en) 2020-12-09 2020-12-09 Method for improving radar ranging accuracy based on improved gravity center interpolation

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202011448021.1A CN112698316B (en) 2020-12-09 2020-12-09 Method for improving radar ranging accuracy based on improved gravity center interpolation

Publications (2)

Publication Number Publication Date
CN112698316A CN112698316A (en) 2021-04-23
CN112698316B true CN112698316B (en) 2023-07-11

Family

ID=75507919

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202011448021.1A Active CN112698316B (en) 2020-12-09 2020-12-09 Method for improving radar ranging accuracy based on improved gravity center interpolation

Country Status (1)

Country Link
CN (1) CN112698316B (en)

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH06201816A (en) * 1992-10-09 1994-07-22 Mitsubishi Electric Corp Radar signal processor
US6429941B1 (en) * 1998-07-14 2002-08-06 Minolta Co., Ltd. Distance measuring equipment and method
JP2014109537A (en) * 2012-12-04 2014-06-12 Mitsubishi Electric Corp Laser radar apparatus
CN106054157A (en) * 2016-07-20 2016-10-26 西安电子工程研究所 Digital Dechirp wideband phased array radar Keystone transform algorithm
CN106154257A (en) * 2016-06-21 2016-11-23 成都雷尼尔科技有限公司 Precision instrumentation radar secondary frequency measuring method based on FFT Yu apFFT
CN108802716A (en) * 2017-12-29 2018-11-13 西安电子科技大学 CW with frequency modulation landing radar distance measuring method based on center of gravity correction
CN109581347A (en) * 2018-12-10 2019-04-05 航天南湖电子信息技术股份有限公司 A kind of radar fining distance measuring method
CN112051564A (en) * 2020-08-25 2020-12-08 西安电子工程研究所 Two-point parabolic interpolation method for improving radar ranging precision

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH06201816A (en) * 1992-10-09 1994-07-22 Mitsubishi Electric Corp Radar signal processor
US6429941B1 (en) * 1998-07-14 2002-08-06 Minolta Co., Ltd. Distance measuring equipment and method
JP2014109537A (en) * 2012-12-04 2014-06-12 Mitsubishi Electric Corp Laser radar apparatus
CN106154257A (en) * 2016-06-21 2016-11-23 成都雷尼尔科技有限公司 Precision instrumentation radar secondary frequency measuring method based on FFT Yu apFFT
CN106054157A (en) * 2016-07-20 2016-10-26 西安电子工程研究所 Digital Dechirp wideband phased array radar Keystone transform algorithm
CN108802716A (en) * 2017-12-29 2018-11-13 西安电子科技大学 CW with frequency modulation landing radar distance measuring method based on center of gravity correction
CN109581347A (en) * 2018-12-10 2019-04-05 航天南湖电子信息技术股份有限公司 A kind of radar fining distance measuring method
CN112051564A (en) * 2020-08-25 2020-12-08 西安电子工程研究所 Two-point parabolic interpolation method for improving radar ranging precision

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
一种基于二分法和SDFT的FMCW雷达高精度测距方法;魏晓会 等;现代电子技术;第41卷(第7期);全文 *
基于抛物线拟合方法的提高雷达测距精度研究;周清晨 等;信息通信(第6期);全文 *
精密料位测量雷达关键技术研究;兰杰;中国优秀硕士学位论文全文数据库;全文 *
频谱校正插值法综述及在强噪声下的精度比较;萧红 等;重庆大学学报;第40卷(第8期);全文 *

Also Published As

Publication number Publication date
CN112698316A (en) 2021-04-23

Similar Documents

Publication Publication Date Title
CN112462356B (en) Method for improving radar ranging accuracy based on Gaussian interpolation
CN110850400B (en) LFMCW radar multi-target detection method based on interferometer direction finding
CN112051564B (en) Two-point parabolic interpolation method for improving radar ranging accuracy
CN112965037B (en) Radar signal waveform uncertainty test system
CN110161478B (en) Waveform design method based on clutter power spectral density self-optimization
CN110161472A (en) A kind of broadband vehicle-mounted millimeter wave radar solution velocity ambiguity method based on signal multiplexing
Li et al. Software-defined calibration for FMCW phased-array radar
CN112255595A (en) Sea clutter data preprocessing method based on simulated airborne measurement
CN109782249B (en) Two-target correlation time delay estimation algorithm
CN112698316B (en) Method for improving radar ranging accuracy based on improved gravity center interpolation
CN113466807B (en) Radar critical intercepted distance test system
CN110531309A (en) There are coherent signal angle-of- arrival estimation methods when amplitude phase error based on atom norm
CN110207809A (en) Energy converter transfger impedance calibrating installation based on spatial frequency domain smoothing technique
CN109856615B (en) Distance measurement method and system based on CSS technology
EP1631840A2 (en) Estimation of background noise and its effect on sonar range estimation
CN116015343A (en) Ultra-wideband narrow pulse detection and analog forwarding system and method
CN114265050A (en) Pulse compression sum-difference distance measuring method
CN112883787B (en) Short sample low-frequency sinusoidal signal parameter estimation method based on spectrum matching
CN113702901A (en) Cross-correlation delay estimation method based on signal correlation enhancement
CN109581319B (en) Sea clutter Doppler shift and bandwidth estimation method based on multi-scanning recursion
CN103441975B (en) A kind of Coded Signals parameter estimation method based on power spectrum
CN111913161B (en) Method for improving NLFM waveform radar target angle measurement precision
CN110687362A (en) Real-time phase noise testing method
CN115143875B (en) Medium thickness estimation method based on time domain analysis method
RU2753829C1 (en) Method for determining anechoic coefficient in radio frequency anechoic chamber and apparatus for implementation thereof

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
TR01 Transfer of patent right
TR01 Transfer of patent right

Effective date of registration: 20231229

Address after: 710100 Fengqi East Street, Weiqu, Chang'an District, Xi'an City, Shaanxi Province

Patentee after: Xi'an Electronic Engineering Research Institute

Patentee after: XI'AN CHANGYUAN ELECTRON ENGINEERING Co.,Ltd.

Address before: Changan District Fengqi road 710100 Shaanxi city of Xi'an Province

Patentee before: Xi'an Electronic Engineering Research Institute