WO1996035962A1 - Phased array radar system for tracking - Google Patents

Phased array radar system for tracking Download PDF

Info

Publication number
WO1996035962A1
WO1996035962A1 PCT/SE1996/000609 SE9600609W WO9635962A1 WO 1996035962 A1 WO1996035962 A1 WO 1996035962A1 SE 9600609 W SE9600609 W SE 9600609W WO 9635962 A1 WO9635962 A1 WO 9635962A1
Authority
WO
WIPO (PCT)
Prior art keywords
unit
time
measurement
track
time interval
Prior art date
Application number
PCT/SE1996/000609
Other languages
English (en)
French (fr)
Inventor
Dan STRÖMBERG
Original Assignee
Försvarets Forskningsanstalt
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 Försvarets Forskningsanstalt filed Critical Försvarets Forskningsanstalt
Priority to AT96915288T priority Critical patent/ATE213842T1/de
Priority to AU57097/96A priority patent/AU715366B2/en
Priority to US08/952,119 priority patent/US6064333A/en
Priority to EP96915288A priority patent/EP0886789B1/en
Priority to DE69619561T priority patent/DE69619561T2/de
Publication of WO1996035962A1 publication Critical patent/WO1996035962A1/en

Links

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
    • G01S13/66Radar-tracking systems; Analogous systems
    • G01S13/72Radar-tracking systems; Analogous systems for two-dimensional tracking, e.g. combination of angle and range tracking, track-while-scan radar
    • G01S13/723Radar-tracking systems; Analogous systems for two-dimensional tracking, e.g. combination of angle and range tracking, track-while-scan radar by using numerical data

Definitions

  • the present invention relates to a phased array radar tracking system.
  • a basic textbook is recommended, e.g. S.Kingsley and S.Quegan, Understanding Radar Systems, McGraw Hill, 1992.
  • the proposed radar design is intended for tracking aircraft targets.
  • the radar system has a phased array antenna, which means that it can be controlled and directed electronically.
  • Each detected aircraft target is followed and represented as a track.
  • the track is a state vector with elements for a set of parameters.
  • the main way of working for the radar is to transmit pulses with a certain pulse repetition frequency and carrier frequency, in a certain direction. After being reflected against a radar target (subsequently called “the target”) they may be measured by a receiver. The time delay from transmission to reception of a pulse is proportional to the target distance.
  • the distance is, however, ambiguous since the pulse frequency value is so high that several pulses are transmitted before the reflection of the first pulse returns. This ambiguity gives rise to an ambiguity problem in calculation of the distance:
  • Each measured time between transmission and reception of a pulse corresponds to several possible ranges.
  • the two-way distance that a certain radar pulse can go in the time interval between two consecutive pulses is called the range-unambiguity interval.
  • the length of the range-unambiguity interval depends on the value of the pulse repetition frequency (in the following PRF).
  • PRF pulse repetition frequency
  • a sequence of pulses transmitted with a certain PRF is called a pulse train. Between each pair of adjacent " range-unambiguity intervals there is a blind region dependent on the fact that it takes a certain time to transmit the pulse from the antenna.
  • Doppler blindness is associated with a combination of Doppler frequency shifts and ground echo cancellation. If a movement of a target between two pulses in the pulse train equals in radial direction a number of half wave lengths for the carrier wave, the target seems to stand still. For each PRF a number of (equally large) speed un- ambiguity intervals arises, during which the target speed is unambiguous. Further- more, all echoes from slow targets must be cancelled (ground echo cancellation). The combination of these two effects leads to "blind spots" in the speed spectrum. This phenomenon is called Doppler blindness.
  • a third problem occurs as the radar can measure only one target at each instance. For each track to be scheduled, the measurement time intervals assigned to other tracks are already occupied.
  • a fourth problem is caused by so called “cross-overs”: If the position uncertainties of more than one target during some time interval lie in beam sectors that overlap this time interval will be impossible to use for measurement.
  • the proposed scheduling mechanism solves the stated problem complexity in an optimal and simple way which in addition allows more constraints to be added. This is achieved by giving the innovation the design that is evident from the following independent claim.
  • the other claims concern suitable embodiments of the inven ⁇ tion.
  • figure 1 shows the principal structure of one embodiment of the innovation
  • figure 2 shows the principal structure of one embodiment of the scheduling unit 2 in figure 1
  • figure 4 shows how the beam for target coincides with the beam for target y '
  • figure 5 shows a picture of the range-unambiguity interval at three different PRF values, where bold lines denote blind parts of the range-unambiguity in each interval, (a) denotes a position which is blind free at only one of the three PRF values, and (b) and (c) denote positions which are blind free in two and three of the investigated PRF values respectively.
  • the innovation consists of a device which computes the time points and PRF values for updates of a number of established target tracks, by calculation of a time interval sequence for each one of a number of geometrical and other conditions which may be posed on the measured target in relation to the position and speed of " the radar itself. These time interval sequences are then intersected forming a new time interval sequence within which the optimal measurement time interval can be sought.
  • the radar system comprises a track initiation unit 6, a target model calculation unit 1 , a scheduling unit 2, a track selec ⁇ tion unit 3 and a transmission/receiving unit 4.
  • the track initiation unit 6 initiates new tracks. It is connected to the target model calculation unit 1 which predicts the expected position of the target and the calcu ⁇ lated position uncertainty at the next measurement as a function of time and furthermore the minimal, maximal and optimal measurement time difference.
  • the track prediction unit 1 is connected to a scheduling unit 2, which makes an independent calculation of a sequence of possible time intervals to the next measurement for two conditions, namely that the measurement time difference has a value between the minimal time difference and the maximal time difference, and that range-unambiguity shall prevail. The unit then makes an intersection operation on the two so calculated interval sequences in order to calculate the optimal time interval to next measurement.
  • the scheduling unit 2 is connected to a track selection unit 3 which selects the track which has the shortest remaining time interval, K j , to the next measurement and de ⁇ creases the time interval to next measurement for all other tracks with K j .
  • the track selection unit 3 is connected to a send/receive unit 4 which generates waveform, directs the beam, is designed to register the reflex from the target and calculate, in a known way, range, speed, angle and accuracy in the calculations of range and speed, which parameters are transferred to the track prediction unit 1 for use in the further calculations in this unit.
  • the scheduling unit 2 is not able to calculate any time to the next measurement for any PRF value.
  • the radar system is suitable for the radar system to comprise a resolution unit 5 which is connected to the schedul ⁇ ing unit and which can calculate resolution frequencies and possible measuring times for resolution.
  • the initiation unit 6 initiates tracks. This is done by using any track detection method which gives initial values of the parameters needed to perform track prediction in unit 1.
  • the track prediction unit 1 calculates or selects a number of parameters which later will be used by unit 4. Using the values of the latest measurements, the target is assigned a target track hypothesis. This can be a straight flight hypothesis or a o
  • a straight flight hypothesis is characterised by a small growth of positional uncertainty
  • a manoeuvre hypothesis is charac ⁇ terised by a large growth of uncertainty - the bigger hypothetical turning force, the larger growth of uncertainty.
  • This growth of uncertainty is expressed by the factors ⁇ t (t) and ⁇ u (t) in the formulas a** and a 2 below, and is illustrated by the breadth of the trumpet shaped opening in figure 3.
  • several known statistical methods are known, the most of which are based on the results of the latest measurements and their position and distance in relation to hypothetical straight flight tracks or turning curves.
  • the positional uncertainty depends among other things on the time difference between the latest and the next measurement for the current track.
  • the growth in .the positional uncertainty can be achieved in different ways, for example with the right part of the formulas a** and a 2 below, or with Kalman filtering.
  • Necessary parameters - with the exception of the time difference - in functions needed to calculate the positional uncertainty are stored in the corresponding memory cells in the memory unit 7.
  • the measured Doppler shift may - but need not - be used to calculate the radial speed and thereby to verify the radial component of the target speed.
  • the required number of pulses may be calculated in different ways.
  • One way is based on the known technique that combines the requirements on detection, range accuracy, range resolution and Doppler resolution.
  • the maximal time difference between the latest and the next measurement for the current track is calculated while considering the fact that the position uncertainty region of the target is to be completely included in the sector formed by one monopulse.
  • the position uncertainty-region grows according to the right term of the formulas a-i and a , see also figure 3.
  • the searched time point is calculated accord ⁇ ing to formula a* ⁇ and a 2 .
  • the minimal time difference between the latest and the next measurement for the current track is calculated while considering the workload and illumination strategy.
  • High workload is a reason to wait a certain minimum amount of time between two illuminations of targets of a certain type.
  • illumination strategy rules for restricted radar illumination on targets of certain types are intended.
  • An optimal time difference between the latest and the next measurement for the current track is calculated among other things as a function of minimal and maximal time difference.
  • the optimal measurement time difference may for example be chosen so that a certain percentage of the difference between the minimal and maximal time difference is less than the optimal time difference.
  • the scheduling unit 2 is formed by the following parts which may be connected according to figure 2.
  • a calculation unit 2.1 which from a given number of PRF values selects the maximal PRF value.
  • a calculation unit 2.2 which, based on this PRF, calculates zero or one time interval between the time difference limits. For facts about the storage of informa ⁇ tion about time intervals, see the paragraph about the memory unit 7.
  • a calculation unit 2.3 which, by using the selected PRF value from unit 2.1 , calculates zero, one or more time intervals during which the range-unambiguity condition is satisfied. This requirement means that the radial extension of uncertainty-region of the position of the target is completely included in one single range-unambiguity interval during the time of the measurement. This may be calculated in the following way, see figure 3.
  • the other vari ⁇ able names are explained below.
  • the first time point, t in a ⁇ constitutes the upper limit for a time interval and the second time point, t in a 2> constitutes the lower limit for a time interval.
  • the situation is reversed. At most one time interval can be formed for each value of n.
  • n an integer greater than or equal to zero
  • c the speed of light
  • prf pulse repetition frequency
  • To range at the latest measurement
  • t time interval between the latest and next measurement
  • v r - the radial speed of the target, positive only if the target-radar range increases
  • ⁇ (t) the range between the straight-line flight path and the closest edge of the uncertainty-region, which may be calculated by the Kalman filter but also may be approximated to k
  • ⁇ u (t) the range between the straight-line flight path and the furthest edge of the uncertainty-region, which may be calculated by the Kalman filter but also may be approximated to k u * t 2 , k u > 0.
  • 2.4 is a calculation unit which, by using the selected PRF value from unit 2.1 and information about the radial speed of the target, calculates whether Doppler blind ⁇ ness prevails, see formula (b). If this is the case with the selected PRF value, an empty time interval sequence is produced, i.e. a sequence with zero time intervals. Otherwise a sequence with one time interval is produced, and this has the limits zero and the positive infinity, respectively.
  • / ⁇ ? integer greater than or equal to zero
  • ⁇ carrier frequency
  • prf pulse repetition frequency
  • v r the radial speed of the target, positive only if the target radar distance increases.
  • a target which has a speed within a blind spot will be made invisible for the radar. Since the range rate unambiguity interval depends on the PRF value, a target which was made invisible with one PRF value may become visible with another PRF value.
  • a calculation unit 2.5 which, by using the selected PRF value from unit 2.1 , calculates zero, one or more time intervals during which cross-overs do not occur. These time intervals forms a sequence of time intervals.
  • Cross-overs are illustrated in figure 4.
  • Cross-over is a state when the uncertainty region for one target is partly or completely hidden by the uncertainty-region for another target. The geometry for this state is time dependent. Simplified calculations of cross-overs might be used. It might prevail at those time points when two or more targets have the same expected bearing, added with such time intervals on both sides of this time point which depend on the mutual relation between the directions of the targets. If the targets head in nearly the same direction the cross-over takes longer time.
  • a calculation unit 2.6 which, by using the selected PRF value from unit 2.1, calculates zero, one or more time intervals which are not already allocated for update measurement of other targets. These time intervals form a sequence of time intervals.
  • Information about time intervals for update measurement of other tar ⁇ gets may be achieved in track memory cells for "PRF" and "remaining time to measurement", see the paragraph for memory unit 7, or be administered in a special sequence of time intervals for occupied time intervals.
  • One such reason is that a certain part of each time unit must be allocated for search.
  • the complementary set (see definition below) for the such allocated time intervals forms a sequence of allowed time intervals for each calculation unit 2.7.j.
  • Search is an activity, which consists of searching for new targets in defined areas. This com ⁇ prises a method which, prior to scheduling track updates, allocates a specific per ⁇ centage of each selected future time interval for search.
  • the complementary set to a sequence S of time intervals is a sequence T of time intervals such that exactly those time points which are not included in any time interval in S are included in a time interval in T.
  • a calculation unit 2.8 which performs an intersection operation (see definition below) of all those time intervals or sequences of time intervals which have been achieved from the calculation units 2.2-2.7. The result is a sequence of time inter ⁇ vals.
  • T time interval sequence
  • a calculation unit 2.9 which calculates the time for update measurement by using the sequence achieved in unit 2.8.
  • T length of the measurement interval
  • f a positive integer whose value depends on the needed effect as calculated by the radar equation
  • w - integer which gives the number of pulses
  • prf pulse repetition frequency
  • a unit 2.10 which, if no time interval according to 2.9 remains and there are more PRF values to try, deletes the last selected PRF value from the set of PRF values to try.
  • the calculation units 2.2-2.7 are independent of each other. They may be arranged in parallel as shown in figure 2, or in sequence, in which case intersection is per ⁇ formed at each step between the input time interval sequence and the time interval sequence during the times of which the condition is true. If these steps are per ⁇ formed sequentially, the need for unit 2.8 disappears and the time interval se ⁇ quence from unit 2.7 is transferred directly to the calculation unit 2.9.
  • these desirable requirements may be weighted. This is done by introducing three weight factors and storing in one memory cell per PRF value - for all PRF values which give at least one possible time interval accord- ing to unit 2.9.1 - the value of the sum of three products. The products are achieved respectively by multiplication of the inversed measurement length and weight factor number 1, multiplication of the distance to the optimal time point and weight factor number 2, and multiplication of the distance to the centre of the Doppler interval and weight factor number 3. After performing these calculations for all PRF values, that PRF value is selected which gives the smallest sum, together with the corresponding measurement time interval. This consideration among soft desirable requirements may be selectable, i.e. object for on/off switching.
  • weight factors may be static or dynamic. If static assignment is used, then they have constant values. If dynamic assignment is used, then they might be changed by an operator command or controlled by the transmit ⁇ ter/receiver by letting the weight factor for centering of the Doppler interval increase as the signal-to-noise ratio decreases.
  • a suitable initial value assignment for the weight factors is 10 "1 , 1 and 1 respectively.
  • the track selection unit 3 identifies - through comparing investigation among all memory cells which for different tracks contain information about the remaining time to next measurement - the track i of all tracks which has the smallest remaining time to next measurement Kj , decreases the value for remaining time to next measurement for all other tracks by the same number Kj and transfers the number of the current track, i, to the transmitter/receiver unit 4.
  • the number Kj indicates an absolute (future) time point namely the time point Now + Kj where Now is the absolute time point for the latest measurement of the radar.
  • the transmitter/receiver unit 4 consists of transmitter, receiver and antenna for a
  • phased array radar system The transmitter calculates distance and angle according to functions which earlier have been decided by the track prediction unit for the current track. The number of pulses required for measurement is calculated consid- ering the energy required for target illumination. The PRF value which has been calculated and stored in the state vector is used. The phase shift in the different elements of the antenna is calculated so that a coherent pulse train is directed into the desired direction. The unit stays in a delay state, and at the time point Now + Kj the transmission of the pulse train is started. The receiver infers the distance to the target by calculation of the time delay of the received pulses. Further, distance and radial speed are calculated. These data are registered at the state vector of the track.
  • the value of the absolute time point for the latest measurement, Now, is up ⁇ dated by addition of the value for Kj. If a target echo is not detected, a new attempt to make a measurement is immedi ⁇ ately done, which means that the values for minimal measurement time difference and optimal time difference are set to zero, and calculation unit 2 is started anew. Such renewed measurement attempts after a missed detection are normally repeated a few times (0-2). If a target echo is still not detected, the track is deleted, which means that it is not studied any further by this or other units. In renewed measurement attempts alternative target track hypothesises may be used.
  • the resolution unit 5 calculates the resolution frequencies and possible time intervals for resolution.
  • Resolution means that the target is illuminated sequentially with a small number (s) of pulse trains with different PRF values. At most m of these (m ⁇ s) are allowed to have overlapping intervals for range blindness (that is the blind time interval between two adjacent range-unambiguity intervals) in the uncer- tainty region of the target .
  • the calculation in unit 5 is performed only if unit 2 could not deliver a measurement time interval for a single PRF value.
  • the memory unit 7 consists of a memory having the required memory cells which can be grouped in the following way:
  • the content in this cell is used and changed by the transmitter/receiver unit 4..
  • a number of groups of memory cells 7,3, each group representing a time inter ⁇ val. Each such group of cells holds information about the start and end of the time interval, and a track number and a pointer to another memory cell group which also represents a time interval - the pointer is a number or an address to the other cell group.
  • a group of this type is a time interval object.
  • a chain of time interval objects linked together represents a time interval sequence. Time interval objects are allo ⁇ cated and processed by calculation unit 2. Time interval sequences are also created and maintained.
  • - minimal (measurement) time difference may be constant or depend on the target volume; is calculated by unit 1; used by unit 2.
  • - radar target area is calculated by unit 4; used by unit 4.
  • Kj the time difference between the time point for start of next measurement of this track and the time point for the latest measurement which is stored in the memory cell Now; Kj is calculated by unit 2; used and changed by unit 3.
  • a group of memory cells 7.5 which stores those data about antenna and effect that are needed in the radar equation. This is used for calculation of the pulse num ⁇ ber in the transmitter/receiver unit 4.
  • the units 3, 4, 1 and 2 (in this order) constitute a sequence of units which normally process one target track per turn. Exception 1 : If the PRF value can not be calcu ⁇ lated in unit 2, resolution is performed in unit 5 as well. Exception 2: If no echo from the target is achieved in the transmitter/receiver unit 4, a new scheduling is made by unit 2 without any intermediate processing in unit 1. If no echo is achieved even after repeated measurement attempts, the target track is finished.

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)
  • Variable-Direction Aerials And Aerial Arrays (AREA)
PCT/SE1996/000609 1995-05-09 1996-05-09 Phased array radar system for tracking WO1996035962A1 (en)

Priority Applications (5)

Application Number Priority Date Filing Date Title
AT96915288T ATE213842T1 (de) 1995-05-09 1996-05-09 Folgeradarsystem mit phasengesteuerter gruppenantenne
AU57097/96A AU715366B2 (en) 1995-05-09 1996-05-09 Phased array radar system for tracking
US08/952,119 US6064333A (en) 1995-05-09 1996-05-09 Phased array radar system for tracking
EP96915288A EP0886789B1 (en) 1995-05-09 1996-05-09 Phased array radar system for tracking
DE69619561T DE69619561T2 (de) 1995-05-09 1996-05-09 Folgeradarsystem mit phasengesteuerter gruppenantenne

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
SE9501718-2 1995-05-09
SE9501718A SE9501718L (sv) 1995-05-09 1995-05-09 Fasstyrt radarsystem för spårföljning

Publications (1)

Publication Number Publication Date
WO1996035962A1 true WO1996035962A1 (en) 1996-11-14

Family

ID=20398249

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/SE1996/000609 WO1996035962A1 (en) 1995-05-09 1996-05-09 Phased array radar system for tracking

Country Status (8)

Country Link
US (1) US6064333A ( )
EP (1) EP0886789B1 ( )
AT (1) ATE213842T1 ( )
AU (1) AU715366B2 ( )
CA (1) CA2220387A1 ( )
DE (1) DE69619561T2 ( )
SE (1) SE9501718L ( )
WO (1) WO1996035962A1 ( )

Families Citing this family (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1371999A1 (de) * 2002-06-12 2003-12-17 Oerlikon Contraves Ag Verfahren zum Verfolgen eines Zieles und Zielverfolgungssystem
US7555383B2 (en) * 2003-05-28 2009-06-30 Northrop Grumman Corporation Target acquisition and tracking system
US20050195102A1 (en) * 2004-03-05 2005-09-08 Vaman Dhadesugoor R. Real time predictive trajectory pairing (RTPTP) algorithm for highly accurate tracking of ground or air moving objects
US7113130B2 (en) * 2004-06-06 2006-09-26 Pitney Bowes Inc. Method and system for determining location by implication
US7187320B1 (en) * 2004-08-27 2007-03-06 Lockheed Martin Corporation Matched maneuver detector
US8330942B2 (en) * 2007-03-08 2012-12-11 Trimble Ab Methods and instruments for estimating target motion
JP4861384B2 (ja) * 2008-08-25 2012-01-25 株式会社東芝 レーダ装置
US9759802B2 (en) * 2013-09-24 2017-09-12 Raytheon Applied Signal Technology, Inc. System and method for determining geo location of a target using a cone coordinate system
JP6628996B2 (ja) * 2015-07-16 2020-01-15 株式会社東芝 レーダリソース配分装置
US20190033440A1 (en) * 2017-07-25 2019-01-31 Bae Systems Technology Solutions & Services Inc. Interferometric multiple object tracking radar system for precision time space position information data acquisiton
JP7242227B2 (ja) * 2018-09-21 2023-03-20 株式会社東芝 レーダ装置及びレーダ装置のpriの制御方法
CN112147704B (zh) * 2020-09-27 2023-01-06 上海特金无线技术有限公司 探测无人机的方法、装置及设备、存储介质
CN113096397B (zh) * 2021-03-31 2022-04-12 武汉大学 基于毫米波雷达与视频检测的交通拥堵分析方法

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
AU647639B2 (en) * 1991-07-18 1994-03-24 Commonwealth Of Australia, The Track initiation and use of signal strength
US5309159A (en) * 1991-02-19 1994-05-03 Israel Aircraft Industries Ltd. Method and system for moving object detection
EP0607015A1 (en) * 1993-01-12 1994-07-20 General Electric Company Method for tracking a maneuvering target with a slow scan rate sensor
EP0625713A2 (en) * 1993-05-18 1994-11-23 International Business Machines Corporation Method and system for tracking multiple regional objects

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS57154081A (en) * 1981-03-19 1982-09-22 Mitsubishi Electric Corp Pulse doppler radar device mounted on airplane
US4593286A (en) * 1983-04-25 1986-06-03 Westinghouse Electric Corp. Method of operating an agile beam coherent radar
US4910526A (en) * 1987-05-18 1990-03-20 Avion Systems, Inc. Airborne surveillance method and system
US5075694A (en) * 1987-05-18 1991-12-24 Avion Systems, Inc. Airborne surveillance method and system

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5309159A (en) * 1991-02-19 1994-05-03 Israel Aircraft Industries Ltd. Method and system for moving object detection
AU647639B2 (en) * 1991-07-18 1994-03-24 Commonwealth Of Australia, The Track initiation and use of signal strength
EP0607015A1 (en) * 1993-01-12 1994-07-20 General Electric Company Method for tracking a maneuvering target with a slow scan rate sensor
EP0625713A2 (en) * 1993-05-18 1994-11-23 International Business Machines Corporation Method and system for tracking multiple regional objects

Also Published As

Publication number Publication date
SE503641C2 (sv) 1996-07-22
US6064333A (en) 2000-05-16
EP0886789B1 (en) 2002-02-27
EP0886789A1 (en) 1998-12-30
DE69619561T2 (de) 2003-01-09
SE9501718L (sv) 1996-07-22
AU715366B2 (en) 2000-02-03
DE69619561D1 (de) 2002-04-04
CA2220387A1 (en) 1996-11-14
AU5709796A (en) 1996-11-29
ATE213842T1 (de) 2002-03-15

Similar Documents

Publication Publication Date Title
EP0868669B1 (en) A tracking method for a radar system
US4143373A (en) Adaptive radar systems and methods therefor
US7375675B2 (en) Method and system for multiple target class data recording, processing and display for over-the-horizon radar
JP5362004B2 (ja) 複合多勾配fmチャープ波形を用いた自動車レーダー
EP0886789B1 (en) Phased array radar system for tracking
US4134113A (en) Monopulse motion compensation for a synthetic aperture radar
US3889261A (en) Range measurement pulse radar system
US20160131742A1 (en) Angle-resolving fmcw radar sensor
JP3723650B2 (ja) レーダ・システム
EP0239022A2 (en) Extended sar imaging capability for ship classification
US4724418A (en) Synthetic aperture radar focusing
AU750791B2 (en) Improvements in or relating to radar systems
US11073608B2 (en) Resolving radar angle ambiguities using a multiple hypothesis tracker
US4375641A (en) Method in a tracking radar to attain a large unambiguous range for detected targets by means of radar pulses with high repetition frequency
US5001490A (en) Multifunction radar techniques
US4961075A (en) Two and one-half dimensional radar system
US4559537A (en) Method of tracking target in presence of clutter
US5115246A (en) Radar target locating and tracking apparatus using a dual-interleaved pulse train radar waveform
US4706089A (en) Synthetic aperture radar focusing
EP0851238A2 (en) Doppler radar
US4706088A (en) Synthetic aperture radar focusing
US5500647A (en) Method for determining the rank of distance ambiguity of radar echoes
Nagel et al. A new HPRF mode with highly accurate ranging capability for future airborne radars
KR102375061B1 (ko) 코히어런트 레이더에서 스파이크 반사신호에 의한 오탐지의 제거 방법
US5107270A (en) Method and apparatus for increasing a radar's range with improved scan-to-scan integration of doppler filtered signals

Legal Events

Date Code Title Description
AK Designated states

Kind code of ref document: A1

Designated state(s): AU CA JP US

AL Designated countries for regional patents

Kind code of ref document: A1

Designated state(s): AT BE CH DE DK ES FI FR GB GR IE IT LU MC NL PT SE

DFPE Request for preliminary examination filed prior to expiration of 19th month from priority date (pct application filed before 20040101)
121 Ep: the epo has been informed by wipo that ep was designated in this application
ENP Entry into the national phase

Ref document number: 2220387

Country of ref document: CA

Ref country code: CA

Ref document number: 2220387

Kind code of ref document: A

Format of ref document f/p: F

WWE Wipo information: entry into national phase

Ref document number: 08952119

Country of ref document: US

WWE Wipo information: entry into national phase

Ref document number: 1996915288

Country of ref document: EP

WWP Wipo information: published in national office

Ref document number: 1996915288

Country of ref document: EP

WWG Wipo information: grant in national office

Ref document number: 1996915288

Country of ref document: EP