CN109444869B - Radar extension target parameter adjustable detector for signal mismatch - Google Patents

Radar extension target parameter adjustable detector for signal mismatch Download PDF

Info

Publication number
CN109444869B
CN109444869B CN201811559480.XA CN201811559480A CN109444869B CN 109444869 B CN109444869 B CN 109444869B CN 201811559480 A CN201811559480 A CN 201811559480A CN 109444869 B CN109444869 B CN 109444869B
Authority
CN
China
Prior art keywords
detection
detector
adjustable
radar
parameter
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
CN201811559480.XA
Other languages
Chinese (zh)
Other versions
CN109444869A (en
Inventor
刘维建
王永良
段克清
张西川
陈威
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.)
Air Force Early Warning Academy
Original Assignee
Air Force Early Warning Academy
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 Air Force Early Warning Academy filed Critical Air Force Early Warning Academy
Priority to CN201811559480.XA priority Critical patent/CN109444869B/en
Publication of CN109444869A publication Critical patent/CN109444869A/en
Application granted granted Critical
Publication of CN109444869B publication Critical patent/CN109444869B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S13/00—Systems 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
    • G01S13/02—Systems using reflection of radio waves, e.g. primary radar systems; Analogous systems
    • G01S13/04—Systems determining presence of a target
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S13/00—Systems 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
    • G01S13/02—Systems using reflection of radio waves, e.g. primary radar systems; Analogous systems
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
    • G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
    • G01S7/41—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00 using analysis of echo signal for target characterisation; Target signature; Target cross-section
    • G01S7/414—Discriminating targets with respect to background clutter
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
    • G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
    • G01S7/41—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00 using analysis of echo signal for target characterisation; Target signature; Target cross-section
    • G01S7/418—Theoretical aspects
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S13/00—Systems 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
    • G01S13/02—Systems using reflection of radio waves, e.g. primary radar systems; Analogous systems
    • G01S2013/0236—Special technical features
    • G01S2013/0245—Radar with phased array antenna
    • G01S2013/0254—Active array antenna
    • Y—GENERAL 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
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
    • Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

Abstract

The invention discloses a radar extended target parameter adjustable detector for signal mismatch. The method is based on a multi-channel self-adaptive detection idea, adjustable parameters are introduced, and flexible detection of mismatched signals is achieved by adjusting the adjustable parameters. The method comprises the steps of firstly, based on a multi-channel phased array radar system, utilizing a plurality of airspace channels to receive data, determining to-be-detected data and training sample data, and utilizing the training sample data to form a sampling covariance matrix; then determining the size of an adjustable parameter according to the system requirement, and further forming a parameter adjustable self-adaptive detector; determining a detection threshold according to the false alarm probability required by the system; and finally, calculating detection statistics and comparing the detection statistics with a threshold, judging that the target exists if the detection statistics are higher than the threshold, and otherwise, judging that the target does not exist. Compared with the traditional detection method, the method can realize the steady detection or inhibition of the mismatched signals by adjusting the adjustable parameters, and has flexible adjustment characteristics; meanwhile, the detector has the CFAR characteristic, so that an additional CFAR processing process is not needed.

Description

Radar extension target parameter adjustable detector for signal mismatch
Technical Field
The invention relates to a radar extended target parameter adjustable detector for signal mismatch, which is particularly suitable for a multi-channel active phased array radar.
Background
Since birth, the radar has been expanded and improved in functions, but target detection is always one of the most important functions. Due to the limitation of the manufacturing process level of components, the early radar is only provided with a single channel, the obtained target information is limited, and the performance of the fighting efficiency of the radar is restricted. The phased array radar can independently transmit and receive data through a plurality of array elements, and can acquire more information. In addition, the multi-channel model can depict the correlation characteristics of signals among different channels, and the possibility is provided for improving the performance of the radar system through signal processing.
The traditional and active main-battle radars adopt a step-by-step detection method of filtering first and then processing Constant False Alarm (CFAR) to detect targets, namely, firstly, matched filtering is utilized to realize suppression of clutter and interference, signal-to-noise-and-noise ratio or signal-to-interference-and-noise ratio is improved, and then CFAR processing is carried out on output signals after matched filtering to complete final target detection and judge whether the targets exist. According to the step-by-step detection method, all system degrees of freedom are used for designing the filter, and the filtered data only has one degree of freedom, so that the detection performance cannot be further improved. Moreover, the step-by-step detection requires an additional CFAR processing step, which is cumbersome and costly. The self-adaptive detection technology does not take filtering as an independent step, directly utilizes data to be detected and training sample data to design a detector, and belongs to an integrated detection method. Adaptive detection techniques have a number of significant advantages, such as: (1) adaptive detectors typically have CFAR properties and do not require additional CFAR processing; (2) the self-adaptive detection technology generally has better detection performance than the step detection technology; (3) the adaptive detector is flexible in design, and multiple design criteria and performance metrics are available.
Along with the improvement of theory and manufacturing process, the resolution of radar is continuously improved, target echoes usually occupy a plurality of distance resolution units, and the point daily standard model is not suitable any more at this moment and becomes an extended target. In addition, for the phased array radar, the multi-channel characteristic of data raises the degree of freedom of the system and brings a certain problem, and errors among channels often cause mismatching of the steering vectors of signals. At present, the detection of the extended target and the multi-channel target detection in the presence of signal mismatch are not studied sufficiently.
Disclosure of Invention
The invention aims to solve the problem of detecting an extended target when a multi-channel active phased array radar has signal mismatch.
In order to achieve the above object, the present invention provides a design method of a radar extended target parameter adjustable detector for signal mismatch, which comprises the following technical steps:
(1) based on a multi-channel phased array radar system, utilizing a plurality of airspace channels to receive data;
(2) determining data to be detected and training sample data, and forming a sampling covariance matrix by using the training sample data;
(3) determining adjustable parameters according to system requirements to form a parameter adjustable self-adaptive detector;
(4) and calculating the detection statistic and comparing the detection statistic with a threshold, judging that the target exists if the detection statistic is higher than the threshold, and otherwise, judging that the target does not exist.
The invention has the advantages that:
(1) the method carries out target detection based on the self-adaptive detection idea, and has better detection performance compared with the traditional step-by-step detection method.
(2) The detector designed by the invention has the CFAR characteristic, and an additional CFAR processing process is not needed.
(3) The detector designed by the invention can flexibly detect the mismatch signal, reduce the adjustable parameters and realize the steady detection of the mismatch signal, and increase the adjustable parameters and realize the inhibition of the mismatch signal.
Drawings
Fig. 1 is a block diagram of the structure of an embodiment of the present invention. The processing processes of sampling covariance matrix calculation, quasi-whitening, detectors and the like in the graph can be realized on a general programmable signal processing board in a programming mode.
Detailed Description
The principle of implementing the invention is as follows: the method comprises the steps of forming a sampling covariance matrix by using training samples, carrying out quasi-whitening on a signal guide vector and data to be detected by using the sampling covariance matrix to eliminate clutter, selecting reasonable adjustable parameters to form detection statistics of a detector, determining a detection threshold according to a preset false alarm probability value, comparing the detection statistics of the detector with the detection threshold, judging whether a target exists or not if the detection statistics of the detector is higher than the threshold.
The detailed steps of the invention are as follows:
(1) for an extended target with a distance extension dimension of K, radar return signals of the extended target are expressed by an NxK dimensional matrix
X＝[x1，x2，…，xK] (1)
Wherein the Nx 1-dimensional column vector
Figure BSA0000176191140000023
Echo data representing the kth range bin occupied by the extended target.
(2) Constructing a sampling covariance matrix by using L training samples
Figure BSA0000176191140000021
Wherein x ise，lRepresents the ith training sample, superscript (. cndot.)HRepresenting a conjugate transpose.
(3) And selecting a reasonable adjustable parameter gamma according to the system requirement. If the detector is expected to have robust detection characteristics for mismatch signals, then 0 < γ < 1 needs to be satisfied, and the smaller γ is the more robust; if the detector is expected to be mismatch sensitive to mismatch signals (i.e. to suppress mismatch signals without using signals with excessive mismatch as the signal of real interest), then γ > 1 needs to be satisfied, and the larger γ is more robust, but γ should not be too large, and the range 1 < γ < 3 needs to be satisfied.
(4) The detection statistic was constructed as shown below
Figure BSA0000176191140000022
Wherein s is a signal steering vector, superscript (·)-1Representing a matrix inversion operation.
(5) Determining a detection threshold by using Monte Carlo simulation, judging that a target exists if the detection statistic is larger than the detection threshold, and reversingIf so, it is determined that no target exists, and the Monte Carlo simulation run time is 100/PfaIn which P isfaThe false alarm probability is preset for the system.
Although the embodiments of the present invention have been described with reference to the accompanying drawings, those skilled in the art may make various changes or modifications within the scope of the appended claims.

Claims (1)

1. A radar extended target parameter adjustable detector for signal mismatch comprises the following technical steps:
(1) based on a multi-channel phased array radar system, utilizing a plurality of airspace channels to receive data;
(2) determining data to be detected and training sample data, and forming a sampling covariance matrix by using the training sample data;
(3) determining adjustable parameters according to system requirements to form a parameter adjustable self-adaptive detector;
(4) calculating detection statistics and comparing the detection statistics with a threshold, if the detection statistics is higher than the threshold, judging that the target exists, otherwise, judging that the target does not exist;
the radar in the step (1) adopts a multi-channel phased array system, and a plurality of airspace channels are utilized to receive radar echo signals;
the detector designed in the step (3) comprises an adjustable parameter, the robust detection of the mismatch signal can be realized by reducing the value of the adjustable parameter, the inhibition of the mismatch signal can be realized by increasing the value of the adjustable parameter, and the detection statistic of the detector is
Figure FDA0003647906220000011
Where s is a signal steering vector,
Figure FDA0003647906220000012
to sample the covariance matrix, xe,lIs the ith training sample, L is the number of training samples, X ═ X1,x2,…,xK]For data to be detected, K is meshTarget extension dimension, non-negative scalar gamma being adjustable parameter, superscript (·)HFor conjugate transposition, superscript (. cndot.)-1For matrix inversion operations, 0 < γ < 1 is set if a robust detector is required, and 1 < γ < 3 is set if a mismatch sensitive detector is required.
CN201811559480.XA 2018-12-19 2018-12-19 Radar extension target parameter adjustable detector for signal mismatch Active CN109444869B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201811559480.XA CN109444869B (en) 2018-12-19 2018-12-19 Radar extension target parameter adjustable detector for signal mismatch

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201811559480.XA CN109444869B (en) 2018-12-19 2018-12-19 Radar extension target parameter adjustable detector for signal mismatch

Publications (2)

Publication Number Publication Date
CN109444869A CN109444869A (en) 2019-03-08
CN109444869B true CN109444869B (en) 2022-07-08

Family

ID=65560167

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201811559480.XA Active CN109444869B (en) 2018-12-19 2018-12-19 Radar extension target parameter adjustable detector for signal mismatch

Country Status (1)

Country Link
CN (1) CN109444869B (en)

Families Citing this family (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110988831B (en) * 2019-04-20 2022-07-01 中国人民解放军空军预警学院 Parameter adjustable detector for signal mismatch in clutter and interference coexistence environment
CN110764066B (en) * 2019-08-14 2021-08-13 西安电子科技大学 Target detection method based on real signal subspace under existence of error
CN111126318A (en) * 2019-12-27 2020-05-08 中国人民解放军空军预警学院 Parameter-adjustable double-subspace signal detection method under signal mismatch
CN111123252B (en) * 2019-12-27 2022-04-05 中国人民解放军空军预警学院 Extended target detection method during signal mismatching in clutter environment
CN113238211B (en) * 2021-02-05 2022-05-10 中国人民解放军空军预警学院 Parameterized adaptive array signal detection method and system under interference condition
CN113030928B (en) * 2021-02-05 2022-03-04 中国人民解放军空军预警学院 Polarization radar extended target self-adaptive detection method and system in non-uniform environment
CN112558014A (en) * 2021-02-23 2021-03-26 中国人民解放军空军预警学院 Method and system for detecting adjustable subspace of extended target parameters in clutter
CN112558034A (en) * 2021-02-23 2021-03-26 中国人民解放军空军预警学院 Extended target sensitive detector and system during subspace signal mismatch

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103018727A (en) * 2011-09-27 2013-04-03 中国科学院电子学研究所 Sample-training-based non-stationary clutter suppression method of vehicle-mounted radar
CN108535708A (en) * 2018-01-26 2018-09-14 西安电子科技大学昆山创新研究院 Radar target self-adapting detecting method based on anti-symmetric transformations
CN108919219A (en) * 2018-07-06 2018-11-30 西安电子科技大学 Distributed object detection method based on anti-symmetric transformations and Parameter adjustable

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20180292510A1 (en) * 2017-04-07 2018-10-11 Texas Instruments Incorporated Calibration of a cascaded radar system

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103018727A (en) * 2011-09-27 2013-04-03 中国科学院电子学研究所 Sample-training-based non-stationary clutter suppression method of vehicle-mounted radar
CN108535708A (en) * 2018-01-26 2018-09-14 西安电子科技大学昆山创新研究院 Radar target self-adapting detecting method based on anti-symmetric transformations
CN108919219A (en) * 2018-07-06 2018-11-30 西安电子科技大学 Distributed object detection method based on anti-symmetric transformations and Parameter adjustable

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
Modified Rao Test for Multichannel;Jun Liu et al.;《IEEE TRANSACTIONS ON SIGNAL PROCESSING》;20160229;第64卷(第3期);全文 *
多通道雷达信号自适应检测技术研究;刘维建;《中国博士学位论文全文数据库 信息科技辑》;20170215(第2期);摘要及正文第2、35-36页 *
适用于子空间信号失配的参数可调多通道自适应检测器;刘维建等;《电子与信息学报》;20161231(第12期);全文 *
零训练样本的集中式MIMO雷达斜对称检测器;杨海峰等;《电子与信息学报》;20171228(第02期);全文 *

Also Published As

Publication number Publication date
CN109444869A (en) 2019-03-08

Similar Documents

Publication Publication Date Title
CN109444869B (en) Radar extension target parameter adjustable detector for signal mismatch
CN109444820B (en) Method for detecting target after interference suppression of multi-channel radar when clutter and interference coexist
CN110988831B (en) Parameter adjustable detector for signal mismatch in clutter and interference coexistence environment
CN108680910B (en) Frequency modulation broadcast external radiation source radar target detection method based on waveform cognition
CN109541577B (en) Adaptive subspace detector under unknown interference in partially uniform environment
CN109143195B (en) Radar target detection method based on full KL divergence
CN111123252B (en) Extended target detection method during signal mismatching in clutter environment
CN103995259B (en) Radar target adaptive-filtering fusion detection method under intensive interference environment
CN111126318A (en) Parameter-adjustable double-subspace signal detection method under signal mismatch
CN113238211B (en) Parameterized adaptive array signal detection method and system under interference condition
CN107462873A (en) A kind of radar chaff method for quickly identifying
CN112558034A (en) Extended target sensitive detector and system during subspace signal mismatch
CN112558014A (en) Method and system for detecting adjustable subspace of extended target parameters in clutter
CN101881822A (en) Method for inhibiting same frequency interference of shared-spectrum radars
CN113253251B (en) FDA-MIMO radar detection method and system when target speed is unknown
CN112835000B (en) Self-adaptive detection method under non-uniform clutter and interference condition
CN107229040B (en) high-frequency radar target detection method based on sparse recovery space-time spectrum estimation
CN113253235B (en) Self-adaptive signal detection method and system in severe non-uniform environment
CN112255608A (en) Radar clutter self-adaptive suppression method based on orthogonal projection
CN107315169B (en) Clutter covariance matrix estimation method based on second-order statistic similarity
CN113030928B (en) Polarization radar extended target self-adaptive detection method and system in non-uniform environment
CN112799022B (en) Extended target detection method and system in non-uniform and interference environment
CN109490871A (en) Based on the subspace signal detecting method of signal structure feature under condition of small sample
CN111965617B (en) GPU-based time division MIMO radar signal processing method
CN113567931A (en) Method and system for detecting double subspace signals when training samples are insufficient

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
CP02 Change in the address of a patent holder

Address after: Box 715, No. 288, Huangpu street, Wuhan, Hubei 430019

Patentee after: AIR FORCE EARLY WARNING ACADEMY

Address before: Box 715, 288 Huangpu street, Wuhan City, Hubei Province, 430019

Patentee before: AIR FORCE EARLY WARNING ACADEMY

CP02 Change in the address of a patent holder