CN106249229A - Keystone based on PD radar system conversion spatial domain and time domain are walked about compensation method - Google Patents

Keystone based on PD radar system conversion spatial domain and time domain are walked about compensation method Download PDF

Info

Publication number
CN106249229A
CN106249229A CN201610574314.1A CN201610574314A CN106249229A CN 106249229 A CN106249229 A CN 106249229A CN 201610574314 A CN201610574314 A CN 201610574314A CN 106249229 A CN106249229 A CN 106249229A
Authority
CN
China
Prior art keywords
keystone
domain
time
array element
plane
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.)
Pending
Application number
CN201610574314.1A
Other languages
Chinese (zh)
Inventor
罗丁利
王勇
王亚军
杨磊
蔡兴雨
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.)
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 CN201610574314.1A priority Critical patent/CN106249229A/en
Publication of CN106249229A publication Critical patent/CN106249229A/en
Pending legal-status Critical Current

Links

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
    • G01S13/0209—Systems with very large relative bandwidth, i.e. larger than 10 %, e.g. baseband, pulse, carrier-free, ultrawideband
    • 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
    • G01S13/50—Systems of measurement based on relative movement of 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
    • 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
    • G01S7/28—Details of pulse systems
    • G01S7/285—Receivers
    • 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

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 present invention relates to a kind of Keystone based on PD radar system conversion spatial domain and time domain is walked about compensation method, first the distance array element plane obtained single PRT sampling carries out distance dimension Fourier transformation, to be fast Fourier's array element plane apart from array element plane transformation, then on each fast Fourier's passage, the interpolation between array element is carried out, it is achieved the Keystone in spatial domain is converted；Next carries out DBF, i.e. forms the sensing wave beam of desired signal, and weights are the preferable weights under carrier frequency；Fast Fourier plane of slow time in the residence time of this wave beam finally carries out the interpolation of slow time dimension, and frequency-domain impulse compresses, it is achieved the range walk of time domain compensates.

Description

Keystone based on PD radar system conversion spatial domain and time domain are walked about compensation method
Technical field
The invention belongs to radar signal processing field, be specifically related to a kind of wideband digital phased-array radar space-time cascade Keystone mapping algorithm, this algorithm can compensate for the aperture under PD system wideband digital phased-array radar large-angle scanning and gets over and ask The river across tunnel problem that topic and long dwell times target exist, is suitable for wide angle simultaneous multiple beams Project Realization.
Background technology
Radar target wavefront arrives the time difference at phased array antenna battle array two ends and is referred to as aperture fill time, corresponding away from Getting over distance from becoming aperture, target is the biggest with antenna normal drift angle, and it is the longest that distance is getted in aperture fill time/aperture.If thunder Reaching employing broadband signal, distance is getted in aperture can be more than multiple Range resolution unit, if at this moment phased-array radar uses tradition Narrow-band digital beam-forming technology, it will causing signal to noise ratio to decline, wave beam secondary lobe is raised, pointing accuracy be deteriorated, distance to point Distinguish that ability declines；Simultaneously because have employed broadband signal, in wave beam residence time, target travel can cause interpulse generation more Range cell migration, compensates if not adjusting the distance to walk about, the interpulse correlative accumulation that will be difficult to, and also can make signal to noise ratio Declining, range sidelobe raises, and distance resolution declines.
The problems referred to above existed for wide band net, current solution is divided into two parts: wideband phased array Radar beam is formed and time domain river across tunnel compensates, and the most not only isolates, and is individually present certain Not enough.
Wide band net Wave beam forming generally has analog delay line, digital delay line and modulus Mixed Delay line three The method of kind, completes in array element level or Subarray.Analog delay line mainly utilizes electromagnetic wave to transmit in microwave transmission line to be disappeared The time of consumption realizes the delay of signal, and retardation is often quantified as the integral multiple in center frequency signal cycle, the problem existed Have: volume is big, cost is high, quantified precision is low, system complexity is high, temperature is more sensitive.Digital delay line is by intermediate frequency simulation letter After number AD sampling, realized the delay of signal by Digital Down Convert, digital delay filtering device；Digital delay line has and prolongs flexibly Function late, it is possible to direct and digital beam-forming network is used in combination, and forms digital beam flexibly, it is simple to follow-up numeral letter Number process, with analogue delay device contrast, its volume is little, low cost, affected by environment little, quantified precision is high, and can flexibly Changing amount of delay, its shortcoming is if needing to produce simultaneous multiple beams, then for each beam position, need to produce in contrast The delayed sequence answered, operand is greatly increased；The method of modulus mixing generally uses simulation Dechirp technology, by broadband analogue Signal becomes narrow band analog signals, is then sampled by AD, carries out range delay compensation deals at numeric field, and this algorithm generally exists Tracking/recognition mode is effective, and search pattern needs whole process to process, and this algorithm will lose efficacy.
For river across tunnel problem, traditional processing method is to estimate target velocity, then according to estimation Speed carries out envelope migration compensation, and its shortcoming is in multiple mobile object environment, it is impossible to compensate range walk simultaneously；
The present invention utilizes wide band net spatial domain and time domain echo feature, Keystone is respectively applied to spatial domain and Time domain, realizes aperture, spatial domain simultaneously and gets over and the compensation of time domain river across tunnel, effectively combined with time domain in spatial domain, with Traditional method compares the complexity greatly reducing operand with Project Realization.
Summary of the invention
Solve the technical problem that
The shortcoming big in order to solve the operand of tradition multichannel delay compensation method based on transversal filter existence, this Invention proposes a kind of Keystone based on PD radar system conversion spatial domain and time domain is walked about compensation method, is used for compensating PD system The spatial temporal range walk problem that wide band net large-angle scanning exists with long dwell times.Cascaded by spatial temporal Processing, reach to walk about the fast target under large-angle scanning compensation, it is achieved the correlative accumulation to target, improves the detection of target Ability and angle, range measurement accuracy and resolution capability.
Technical scheme
A kind of Keystone based on PD radar system conversion spatial domain and time domain are walked about compensation method, it is characterised in that step As follows:
Step 1: the distance array element plane obtaining phased-array radar single PRT carries out fast time dimension N point Fourier transformation, Will sampled signal sk(n, fast time dimension m) through FFT to baseband frequencyTerritory, it is thus achieved that s_freqk(n, m) plane, its Middle k is pulse dimension, and n is time dimension sampling unit, and m is space dimension；
Step 2: to s_freqk(n, m) carries out spatial domain Keystone conversion, i.e. uses sinc function to do interpolation processing and obtainsWhereinfcCarry for radar work Frequently,For baseband frequency, M is total array element number；
Step 3: calculate multi-beamWherein θiFor i-th beams incident angle, i is wave beam number,For array element distance wavelength ratio；
Step 4: to K y in residence timeiN () data are arranged in order, form yi(n, k) plane, its Middle k is slow time dimension, and i is wave beam number；To yi(n, k) panel data carry out slow time dimension interpolation process obtainWherein
Step 5: by yi_time_keystone(n, k') takes advantage of again with frequency matching coefficient, then each pulse passage is IFFT, Complete Frequency Domain Pulse, it is thus achieved that range pulse plane yi_dpc(n,k')。
Interpolation in step 2 and step 4 can also use DFT+FFT or CZT algorithm.
Beneficial effect
A kind of based on PD radar system Keystone conversion spatial domain and time domain that the present invention proposes are walked about compensation method, logical Cross multidimensional transform and method based on sinc function/CZT conversion carries out spatial domain/slow time dimension interpolation, can compensate easily Range walk during empty under multiple target different incidence angles and under multiple target friction speed, correlative accumulation when being effectively improved sky, carry High s/n ratio benefit and preferably angle/range resolution and precision.It is characterized in that: cascaded by spatial domain and time domain Keystone conversion process, it is possible to simultaneously compensate the walk problem in spatial domain and time domain.
The present invention solves big the lacking of operand that tradition multichannel delay compensation method based on transversal filter exists Point, walks about spatial domain with time domain two dimension dexterously and combines, by use based on time domain difference value CZT conversion DFT-IFFT side Method realizes Keystone conversion, improves correlative accumulation benefit, angle measurement accuracy, ranging and range rate precision and corresponding resolving power.
Accompanying drawing explanation
Fig. 1 is that the spatial domain Keystone conversion of the present invention realizes block diagram and data the profiles versus cascaded in plane: (a) First order Keystone conversion block diagram；Data distribution transformation before and after (b) keystone conversion interpolation；
Fig. 2 is digital beam froming block diagram；
Fig. 3 is that slow time dimension Keystone conversion realizes block diagram and data the profiles versus cascaded in plane: when (a) is slow Between keystone convert block diagram；Data profile before and after (b) slow time keystone conversion interpolation；
Fig. 4 is Frequency Domain Pulse block diagram, it is thus achieved thatPlane, i.e. distance-slow time plane.
Fig. 5 flow chart of the present invention
Detailed description of the invention
In conjunction with embodiment, accompanying drawing, the invention will be further described:
First distance-array element the plane obtained single PRT sampling carries out distance dimension Fourier transformation, will be apart from-array element Plane transformation is fast Fourier-array element plane, then carries out the interpolation between array element on each fast Fourier's passage, it is achieved to sky The Keystone conversion in territory；Next carries out DBF, i.e. forms the sensing wave beam of desired signal, and weights are the ideal under carrier frequency Weights；Finally the fast Fourier in the residence time of this wave beam-slow time plane is carried out the interpolation of slow time dimension, frequency-domain impulse Compression, it is achieved the range walk of time domain compensates.
The signal of engagement arithmetic input here is array element passage digital baseband signal after AD sampling and DDC, mainly Symbol explanation is as follows: m is array element dimension, and total array element number is M；N is that fast time dimension is tieed up with frequency domain, and total number is N；K is arteries and veins Punching dimension, i.e. PRT ties up, and total pulse number is K；I is wave beam dimension, and total wave beam number is I.Here note single PRT obtain away from From-array element panel data:In formula, k is kth PRT,For fast time, amFor actual element position, m value is 0:M- 1, M is array element number.After too fast time sampling, fast time dimensionIt is discretized, thereforeIt is designated as sk(n,m)。
The present invention to implement step as follows:
Step 1, single PRT spatial domain Keystone converts, with reference to Fig. 1.
1a) set baseband sampling rate as fs, a length of T of ripple doorp, then sampled point number is: L=fs·Tp, take not less than L's Being several N counting as FFT of the integer power of 2, sampled signal is designated as: s simultaneouslyk(n, m), k is pulse dimension, and n is that time dimension is adopted Sample unit, m is space dimension；
1b) the distance array element plane obtaining single PRT carries out fast time dimension N point Fourier transformation, by sk(n, m) fast Time dimension through FFT to baseband frequencyTerritory, it is thus achieved that s_freqk(n, m) plane, frequency domain sample is counted as N point, then s_ freqk(n, m) matrix dimension is NxM, with reference to Fig. 1 (a)；
1c) do Keystone conversion in space dimension, i.e. to s_freqk(n, m) panel data carries out array element dimension interpolation process, Defining a Virtual array position is:(fc: radar working carrier frequency), (n-m) plane that will be original becomes (n-m ') plane, i.e. signal sampling are become trapezoidal form point from original rectangular format point, can be realized by sinc function, i.e.Can also be come real by DFT+IFFT or CZT algorithm Existing, m' is new space dimension.With reference to Fig. 1 (b).
Step 2, digital beam froming, with reference to Fig. 2.
2a) known desired incidence angle θi, wherein i is wave beam number.Array element distance wavelength ratioDesign desired signal is led To vector it isDimension is MxI.
2b) carry out digital beam froming
CalculateObtain desired signal wave beam frequency-domain result, dimension be NxI, i be ripple Shu Hao.
Step 3, time domain Keystone converts, with reference to Fig. 3.
3a) to K y in residence timeiN () data are arranged in order, form yi(n, k) plane, dimension be NxK, k be slow Time dimension, i is wave beam number；
3b) to yi(n, k) panel data carries out the process of slow time dimension interpolation, and defining a slow time quantum position is:(fc: radar working carrier frequency), (n-k) plane that will be original becomes (n-k') plane, and i.e. signal sampling is by original Rectangular format point becomes trapezoidal form point, it is thus achieved that new datum plane Dimension is NxK, with reference to Fig. 3 (a) and Fig. 3 (b).
Step 4, frequency-domain impulse compresses, with reference to Fig. 4.
To yi_time_keystone(n, k') takes advantage of again with frequency matching coefficient, then each pulse passage is IFFT, completes frequency Territory pulse pressure, it is thus achieved that range pulse plane yi_dpc(n, k'), carries out subsequent treatment.
The present invention makes full use of aperture, spatial domain and gets over and the feature of time domain river across tunnel, is processed by frequency domain and level The method of connection Keystone conversion realizes the effective compensation that Space-time domain is walked about.

Claims (2)

1. a Keystone based on PD radar system conversion spatial domain and time domain are walked about compensation method, it is characterised in that step is such as Under:
Step 1: the distance array element plane obtaining phased-array radar single PRT carries out fast time dimension N point Fourier transformation, will Sampled signal sk(n, fast time dimension m) through FFT to baseband frequencyTerritory, it is thus achieved that s_freqk(n, m) plane, wherein k Tieing up for pulse, n is time dimension sampling unit, and m is space dimension；
Step 2: to s_freqk(n, m) carries out spatial domain Keystone conversion, i.e. uses sinc function to do interpolation processing and obtainsWhereinfcCarry for radar work Frequently,For baseband frequency, M is total array element number；
Step 3: calculate multi-beamWherein θiFor i-th beams incident angle, i is wave beam number,For array element distance wavelength ratio；
Step 4: to K y in residence timeiN () data are arranged in order, form yi(n, k) plane, wherein k is slow time dimension, and i is ripple Shu Hao；To yi(n, k) panel data carry out slow time dimension interpolation process obtain Wherein
Step 5: by yi_time_keystone(n, k') takes advantage of again with frequency matching coefficient, then each pulse passage is IFFT, completes Frequency Domain Pulse, it is thus achieved that range pulse plane yi_dpc(n,k')。
Keystone based on PD radar system the most according to claim 1 conversion spatial domain and time domain are walked about compensation method, It is characterized in that the interpolation in step 2 and step 4 can also use DFT+FFT or CZT algorithm.
CN201610574314.1A 2016-07-20 2016-07-20 Keystone based on PD radar system conversion spatial domain and time domain are walked about compensation method Pending CN106249229A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201610574314.1A CN106249229A (en) 2016-07-20 2016-07-20 Keystone based on PD radar system conversion spatial domain and time domain are walked about compensation method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610574314.1A CN106249229A (en) 2016-07-20 2016-07-20 Keystone based on PD radar system conversion spatial domain and time domain are walked about compensation method

Publications (1)

Publication Number Publication Date
CN106249229A true CN106249229A (en) 2016-12-21

Family

ID=57613412

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201610574314.1A Pending CN106249229A (en) 2016-07-20 2016-07-20 Keystone based on PD radar system conversion spatial domain and time domain are walked about compensation method

Country Status (1)

Country Link
CN (1) CN106249229A (en)

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108931768A (en) * 2018-07-05 2018-12-04 电子科技大学 A method of the external sort algorithm weak target positioning based on fusion of multi-sensor information
CN110376564A (en) * 2019-07-30 2019-10-25 西北工业大学 The biradical configuration of GEO and LEO synthesizes radar ground motion imaging method
CN110488236A (en) * 2019-07-30 2019-11-22 西北工业大学 The biradical configuration of GEO and LEO synthesizes radar ground clutter suppression method
CN110632573A (en) * 2019-10-17 2019-12-31 南京航空航天大学 Airborne broadband radar space-time two-dimensional keystone transformation method
US11592546B1 (en) * 2018-10-25 2023-02-28 Src, Inc. Angle-Doppler Keystone formatting for airborne look-down radar system

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101825707A (en) * 2010-03-31 2010-09-08 北京航空航天大学 Monopulse angular measurement method based on Keystone transformation and coherent integration
CN102288950A (en) * 2011-05-13 2011-12-21 中国民航大学 High-speed air maneuvering target detection method based on STAP (Spacetime Adaptive Processing)
CN102323575A (en) * 2011-07-16 2012-01-18 西安电子科技大学 Range migration correction method for pulse Doppler (PD) radar in feeble signal detection process
CN103869314A (en) * 2014-03-18 2014-06-18 电子科技大学 Dual-flight transfer variation bistatic forward-looking synthetic aperture radar imaging method

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101825707A (en) * 2010-03-31 2010-09-08 北京航空航天大学 Monopulse angular measurement method based on Keystone transformation and coherent integration
CN102288950A (en) * 2011-05-13 2011-12-21 中国民航大学 High-speed air maneuvering target detection method based on STAP (Spacetime Adaptive Processing)
CN102323575A (en) * 2011-07-16 2012-01-18 西安电子科技大学 Range migration correction method for pulse Doppler (PD) radar in feeble signal detection process
CN103869314A (en) * 2014-03-18 2014-06-18 电子科技大学 Dual-flight transfer variation bistatic forward-looking synthetic aperture radar imaging method

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
张宁 等: "基于keystone变换预处理的宽带波束形成方法", 《清华大学学报（自然科学版）》 *

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108931768A (en) * 2018-07-05 2018-12-04 电子科技大学 A method of the external sort algorithm weak target positioning based on fusion of multi-sensor information
US11592546B1 (en) * 2018-10-25 2023-02-28 Src, Inc. Angle-Doppler Keystone formatting for airborne look-down radar system
CN110376564A (en) * 2019-07-30 2019-10-25 西北工业大学 The biradical configuration of GEO and LEO synthesizes radar ground motion imaging method
CN110488236A (en) * 2019-07-30 2019-11-22 西北工业大学 The biradical configuration of GEO and LEO synthesizes radar ground clutter suppression method
CN110488236B (en) * 2019-07-30 2022-11-08 西北工业大学 Ground clutter suppression method for GEO and LEO double-base configuration synthetic radar
CN110376564B (en) * 2019-07-30 2022-11-08 西北工业大学 GEO and LEO double-base configuration synthetic radar ground motion imaging method
CN110632573A (en) * 2019-10-17 2019-12-31 南京航空航天大学 Airborne broadband radar space-time two-dimensional keystone transformation method
CN110632573B (en) * 2019-10-17 2023-01-31 南京航空航天大学 Airborne broadband radar space-time two-dimensional keystone transformation method

Similar Documents

Publication Publication Date Title
CN106249229A (en) Keystone based on PD radar system conversion spatial domain and time domain are walked about compensation method
CN103592642B (en) The method for designing of MIMO radar waveform
Wang et al. High-resolution imaging using a wideband MIMO radar system with two distributed arrays
CN106338723B (en) A kind of space-time adaptive processing method and device based on relatively prime pulse recurrence interval
CN108387877B (en) Moving target phase correction method of multi-input multi-output radar
CN102707264B (en) Estimating method of direction of arrival of bistatic MIMO (Multi-Input Multi-Output) radar based on circular array
CN101858976B (en) Moving target detection method based on multiple sub-apertures of single-channel SAR
CN107167783B (en) Sparse reconstruction method of conformal array clutter covariance matrix
CN106054157A (en) Digital Dechirp wideband phased array radar Keystone transform algorithm
WO2018045594A1 (en) Space-time adaptive processing method and apparatus based on co-prime pulse recurrence interval
CN111090080B (en) Ultra-wideband radar single-channel digital beam forming method based on space-time coding array
CN109490850A (en) Wideband array Adaptive beamformer method under major lobe suppression
CN110596646A (en) MIMO system-based layout and method for improving radar angular resolution
CN108398669B (en) Space-time broadband self-adaptive monopulse angle measurement method based on non-pre-delay processing
CN105974388B (en) Bistatic MIMO radar signal processing method based on distance-azimuth coupling
CN110412570B (en) HRWS-SAR imaging method based on spatial pulse phase coding
Zhang et al. A novel moving target imaging algorithm for HRWS SAR based on local maximum-likelihood minimum entropy
CN111239721B (en) Entropy-solving and speed-ambiguity-solving method for vehicle-mounted MIMO radar
CN112771401A (en) Target detection method and device, radar and vehicle
CN108693526B (en) Moving object phase compensation method for MIMO radar
CN108828504B (en) MIMO radar target direction fast estimation method based on partial correlation waveform
CN103558584A (en) Method and device for detecting direction of arrival
CN110426670A (en) External illuminators-based radar super-resolution DOA estimation method based on TLS-CS
CN109143230A (en) A kind of estimating two-dimensional direction-of-arrival method applied to S-band through-wall radar
Wang et al. Sparsity-based space-time adaptive processing for airborne radar with coprime array and coprime pulse repetition interval

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
WD01 Invention patent application deemed withdrawn after publication

Application publication date: 20161221

WD01 Invention patent application deemed withdrawn after publication