WO2009027718A1 - Method of preventing false detections in sensors - Google Patents
Method of preventing false detections in sensors Download PDFInfo
- Publication number
- WO2009027718A1 WO2009027718A1 PCT/GB2008/050663 GB2008050663W WO2009027718A1 WO 2009027718 A1 WO2009027718 A1 WO 2009027718A1 GB 2008050663 W GB2008050663 W GB 2008050663W WO 2009027718 A1 WO2009027718 A1 WO 2009027718A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- channel
- doppler
- slow
- filters
- fast
- Prior art date
Links
- 238000000034 method Methods 0.000 title claims abstract description 23
- 238000001514 detection method Methods 0.000 title claims abstract description 16
- 238000001914 filtration Methods 0.000 claims abstract description 11
- 238000012545 processing Methods 0.000 claims description 5
- 238000012935 Averaging Methods 0.000 description 5
- 230000001427 coherent effect Effects 0.000 description 4
- 238000002592 echocardiography Methods 0.000 description 4
- 238000012360 testing method Methods 0.000 description 3
- 238000004458 analytical method Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000001556 precipitation Methods 0.000 description 2
- 230000001105 regulatory effect Effects 0.000 description 2
- 230000002547 anomalous effect Effects 0.000 description 1
- 230000002238 attenuated effect Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000011435 rock Substances 0.000 description 1
- 230000003595 spectral effect Effects 0.000 description 1
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
- 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
- G01S7/292—Extracting wanted echo-signals
- G01S7/2923—Extracting wanted echo-signals based on data belonging to a number of consecutive radar periods
- G01S7/2927—Extracting wanted echo-signals based on data belonging to a number of consecutive radar periods by deriving and controlling a threshold value
-
- 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
- G01S13/52—Discriminating between fixed and moving objects or between objects moving at different speeds
- G01S13/522—Discriminating between fixed and moving objects or between objects moving at different speeds using transmissions of interrupted pulse modulated waves
- G01S13/524—Discriminating between fixed and moving objects or between objects moving at different speeds using transmissions of interrupted pulse modulated waves based upon the phase or frequency shift resulting from movement of objects, with reference to the transmitted signals, e.g. coherent MTi
- G01S13/5242—Discriminating between fixed and moving objects or between objects moving at different speeds using transmissions of interrupted pulse modulated waves based upon the phase or frequency shift resulting from movement of objects, with reference to the transmitted signals, e.g. coherent MTi with means for platform motion or scan motion compensation, e.g. airborne MTI
-
- 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
- G01S13/52—Discriminating between fixed and moving objects or between objects moving at different speeds
- G01S13/522—Discriminating between fixed and moving objects or between objects moving at different speeds using transmissions of interrupted pulse modulated waves
- G01S13/524—Discriminating between fixed and moving objects or between objects moving at different speeds using transmissions of interrupted pulse modulated waves based upon the phase or frequency shift resulting from movement of objects, with reference to the transmitted signals, e.g. coherent MTi
- G01S13/5246—Discriminating between fixed and moving objects or between objects moving at different speeds using transmissions of interrupted pulse modulated waves based upon the phase or frequency shift resulting from movement of objects, with reference to the transmitted signals, e.g. coherent MTi post processors for coherent MTI discriminators, e.g. residue cancellers, CFAR after Doppler filters
Definitions
- the present invention relates to a method of preventing false detections in sensors.
- thresholding When thresholding is used as the sole method of false alarm control, the threshold can be crossed by strong signals from the background environment.
- Doppler filtering is generally good at removing the bulk of the clutter signals as these signals occur at relatively low frequencies, it is powerless to discriminate between the high frequency components of the
- Background averaging estimates the background level for each detection "cell” by averaging the signals in nearby cells. This average is then used to adaptively determine the level of the detection threshold in the cell under test. Usually, the threshold is set to be this estimated background level plus a fixed offset, although some modern constant false alarm rate (CFAR) algorithms also analyse the statistics of the signals in the nearby cells and use this analysis to modify the threshold value. Whilst this technique is very good at removing "clutter” that is distributed across multiple detection cells, it is poor at suppressing false alarms from highly localised “clutter” (such as buildings, rock faces, oil rigs etc). A “clutter” map can be used successfully to suppress false alarms from highly localised “clutter” when the sensor is stationary. The “clutter” map works by building up a map of the strength of signals received over a long timeframe, typically over many minutes, and setting the detection threshold for a detection cell at the map value plus a fixed offset.
- Clutter constant false alarm rate
- a method of preventing false detections in sensors comprising the steps of: a) receiving a burst of input signals at a sensor; b) filtering the received burst into at least two bands in accordance with frequency using a series of Doppler filters; and c) processing a first filtered band in accordance with at least one of the other filtered bands to compensate for predicted events and attenuations.
- step b) comprises splitting each burst into at least a fast channel and a slow channel
- step c) comprises using slow channel outputs to derive compensation values for the fast channel
- Step b) may comprise splitting out a first slow channel using filters at zero Doppler, and c) comprises calculating predicted events based on the first slow channel, and using the calculated predicted events to provide a first compensated fast channel.
- Step b) may also comprise splitting out a second slow channel using filters not centred at zero Doppler, and step c) comprises calculating attenuations based on the second slow channel, and using the calculated attenuations to provide a second compensated fast channel.
- the method further comprises the step of: d) comparing the first and second compensated fast channels to provide an output comprising the lower of the first and second compensated fast channels.
- compensation is applied to each filter within said first filtered band.
- Figure 1 is a block diagram of a signal processor of a sensor in a radar system
- Figure 2 is a block diagram of a false alarm control system in accordance with the present invention.
- the present invention lies in regulating false detections from detection or tracking sensors caused by the high frequency component of strong returns from the background environment. It is assumed that signals received by such sensors may be filtered by frequency into a number of bands by a series of Doppler filters. As such, the present invention is suitable for use within signal processors of pulse-Doppler radar systems mounted on moving platforms, such as ships or aircraft.
- the present invention is not limited to use in pulse-Doppler radar systems, where the number of frequency bands tends to be large, but can equally be used in a radar system where the number of frequency bands is considerably lower.
- the number of frequency bands may be as low as two (with high-pass and low-pass filtering) and therefore the present invention can be utilised in a radar system with moving target indication (MTI) processing.
- MTI moving target indication
- Doppler filters in the radar system with pass bands at or near zero-Doppler referred to below as the “slow” filters.
- a snapshot of the stationary "clutter" power contained in the Doppler filter centred at zero Doppler is taken for each coherent burst of pulses, and a priori knowledge of the stability of the radar system is used to estimate the level of breakthrough for each resolution cell and each "fast" (that is, not “slow") Doppler filter. If this estimate is greater than the "background average" level calculated by the CFAR algorithms of the radar system, then the signal output by the CFAR is attenuated by the difference.
- the strength of signals in the "slow" Doppler filters other than the zero Doppler filter are compared with a threshold in order to identify "clutter" centred at zero Doppler with a significant Doppler spread, or "clutter” with a significant Doppler shift. In the presence of such "clutter", the estimate of breakthrough will be too low. In the event that such "clutter” is identified, a further attenuation is made to the signal output by the CFAR algorithms.
- FIG. 1 a part of a signal processing system 100 for a sensor in a pulse-Doppler radar system is shown that receives input signals and outputs signals ready for thresholding.
- the signal processing system 100 comprises a phase-sensitive receiver unit 10, a motion compensation unit 20, a Doppler filtering unit 30, a 'complex to log of modulus' unit 40 and a false alarm control unit 50.
- Received pulsed signals 1 are input to the phase-sensitive unit 10 where they are 'down-mixed' to form digitised, complex, base band signals 12 comprising 'real' and 'imaginary' components known as I and Q respectively.
- the digitised base band signal components 12 are then passed to the motion compensation unit 20 where they are processed to compensate for platform and antenna motion.
- the I and Q components 12 are phase rotated to form motion-compensated components 22. This is so that the returns from a non-fluctuating target (not shown) that is stationary with respect to the surface of the earth have the same phase on each pulse of a coherent 'burst' of pulses.
- Doppler filtering unit 30 where they are filtered by frequency into a number of bands by a series of Doppler filters (not shown) to form filtered components 32.
- the number of bands must be at least two, but in most pulse-Doppler radar systems, the number of bands exceeds four.
- the values 42 include log modulus values for each Doppler filter channel.
- the values 42 are then passed to the false alarm control unit 50 where they are modified to provide output signals 52 that they can be compared with a fixed or constant threshold value for detection.
- the Doppler filter outputs for each 'burst' of coherent signals are split into two sets or "channels", namely, a slow channel and a fast channel.
- channels namely, a slow channel and a fast channel.
- unwanted echoes or "clutter" from the environment such as the surface of the earth or weather precipitation will be contained within a small number of the Doppler filters.
- the "clutter” will be contained within Doppler filters with pass bands at or near zero Doppler.
- the filters with such pass bands are chosen for the slow channel.
- the fast channel will contain all the other filters.
- the false alarms are controlled using only a standard CFAR algorithm.
- the first estimate is calculated using the signal strength in the same range cell from the Doppler filter centred at (or nearest to) zero Doppler (referred to below as Doppler filter 0). It is an estimate of surface "clutter” residues (and may well fall below the noise level).
- the second is an estimate of the background in the range cells around the test cell in the fast channel filter. This is based on the background estimated using a standard CFAR algorithm or background averaging technique that estimates the background level for each detection "cell” by simply averaging the signals in nearby cells.
- this estimate is modified to control false alarms in the presence of fast moving "clutter”, anomalous "clutter”, or “clutter” with strange spectral characteristics, by adding an offset to the background (in the log domain) based on the strength of the signals in those slow channel filters not centred at zero Doppler. (This offset is referred to as the false alarm control (FAC) attenuation).
- FAC false alarm control
- the false alarm control unit 50 is shown in more detail in Figure 2.
- the false alarm control unit 50 directs the log modulus output signals 42 into various channels in accordance with the Doppler filter outputs, namely, a slow channel 60 with filters centred near zero Doppler, a slow channel 70 with filters not at zero Doppler, a zero Doppler channel 80 with filters at zero Doppler, and a fast channel 90 with filters for all the other channels.
- Slow channel 60 comprises all the filters from slow channel 70 and slow channel 80.
- the signals are processed using standard CFAR algorithms (block 62) only to produce output signals 64 indicative of the slow channel filters.
- the signals in the zero Doppler channel 80 (Doppler filter 0) are used to calculate predicted surface "clutter residues" (block 82).
- the output from block 82 is passed to a summer 85 for subtracting from the signals in the fast channel 90 to provide an input to a comparator 95.
- the signals in fast channel 90 are processed using CFAR algorithms
- the signals in slow channel 70 are used to calculate FAC attenuations (block 72) and the output from block 72 is used as the second input to summer 75.
- Summer 75 subtracts the output from block 72 from the output from block 92 to provide a further input to the comparator 95.
- Comparator 95 takes the lower of the two inputs, from summer 85 and summer 75 respectively, to provide output signals 97 indicative of the fast channel filters.
- Signalo is the log modulus of the signal amplitude in filter 0; and imp k is the logarithm (derived assuming the same ⁇ and ⁇ as above) of the (worst case) surface "clutter" improvement factor in filter k (that is, the expected level of high frequency signals at the receiver output with respect to the low frequency signals from a clutter source).
- the FAC attenuations are calculated in block 72 by, for each range cell, finding the largest log modulus in those slow channel filters not centred at zero Doppler in the burst and comparing that value to a range-invariant threshold.
- a set of attenuation values (one for each fast channel filter in the burst) is calculated by using the excess (log modulus minus threshold) multiplied by a scaling factor to index a set of tables of attenuation values. If the threshold is not exceeded, all attenuations in the set for the burst are zero.
- the slow channel filter used in choosing the attenuation table is the (non zero-Doppler) filter containing the largest value.
- the choice of slow channel filters is immaterial in cases where the largest value occurs in more than one filter.
- the attenuations calculated in block 72 are applied to the log modulus data after CFAR in the fast channel 90. The attenuation is subtracted from the CFAR output. There is a separate attenuation for each range cell and each filter.
- the resulting value is compared to the difference between the CFAR input and the predicted surface clutter residue.
- the lower value is chosen as the post-false alarm control log output 97.
- fac_output(k) MIN((cfar_output(k)-fac_atten(k)), (cfar_input(k)- residu ⁇ k ))
Abstract
Description
Claims
Priority Applications (5)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US12/295,961 US8125374B2 (en) | 2007-08-31 | 2008-08-05 | Method of preventing false detections in sensors |
DK08788634.7T DK2183615T3 (en) | 2007-08-31 | 2008-08-05 | Method of preventing fault detection in sensors |
EP08788634.7A EP2183615B1 (en) | 2007-08-31 | 2008-08-05 | Method of preventing false detections in sensors |
ES08788634.7T ES2634418T3 (en) | 2007-08-31 | 2008-08-05 | Method to avoid false detections in sensors |
AU2008291893A AU2008291893B2 (en) | 2007-08-31 | 2008-08-05 | Method of preventing false detections in sensors |
Applications Claiming Priority (4)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
EP07253452.2 | 2007-08-31 | ||
GB0716967A GB0716967D0 (en) | 2007-08-31 | 2007-08-31 | A method of preventing false detections in sensors |
GB0716967.5 | 2007-08-31 | ||
EP07253452 | 2007-08-31 |
Publications (1)
Publication Number | Publication Date |
---|---|
WO2009027718A1 true WO2009027718A1 (en) | 2009-03-05 |
Family
ID=40386734
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/GB2008/050663 WO2009027718A1 (en) | 2007-08-31 | 2008-08-05 | Method of preventing false detections in sensors |
Country Status (6)
Country | Link |
---|---|
US (1) | US8125374B2 (en) |
EP (1) | EP2183615B1 (en) |
AU (1) | AU2008291893B2 (en) |
DK (1) | DK2183615T3 (en) |
ES (1) | ES2634418T3 (en) |
WO (1) | WO2009027718A1 (en) |
Cited By (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP2228667A1 (en) * | 2009-03-11 | 2010-09-15 | BAE Systems PLC | Sensor for determining velocity |
WO2010103309A1 (en) * | 2009-03-11 | 2010-09-16 | Bae Systems Plc | Sensor for determining velocity |
WO2011083301A1 (en) * | 2010-01-07 | 2011-07-14 | Bae Systems Plc | A method of detecting a clutter return at a sensor |
EP2345909A1 (en) * | 2010-01-07 | 2011-07-20 | BAE Systems PLC | A method of detecting a clutter return at a sensor |
WO2011138598A1 (en) * | 2010-05-04 | 2011-11-10 | Bae Systems Plc | Tracker false alarm rate control |
EP2386874A1 (en) * | 2010-05-04 | 2011-11-16 | BAE SYSTEMS plc | Tracker false alarm rate control |
EP2706374A1 (en) * | 2012-09-05 | 2014-03-12 | Furuno Electric Co., Ltd. | Signal processing device, radar apparatus, target object method |
US20220011423A1 (en) * | 2020-07-13 | 2022-01-13 | Qualcomm Incorporated | Range dependent false alarm reduction in radar object detection |
Families Citing this family (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
DE102011079615A1 (en) * | 2011-07-22 | 2013-01-24 | Robert Bosch Gmbh | FMCW radar system and interference detection method for FMCW radar systems |
JP5980587B2 (en) * | 2012-06-21 | 2016-08-31 | 古野電気株式会社 | Radar apparatus and reflected signal processing method |
US9348021B2 (en) | 2013-03-14 | 2016-05-24 | Raytheon Company | Methods and apparatus for adaptive motion compensation to remove translational movement between a sensor and a target |
BR112016005433B1 (en) * | 2013-09-13 | 2022-08-16 | Bae Systems Plc | METHOD TO DETECT AN ANOMALOUS PROPAGATION CONDITION IN A RADAR SYSTEM, AND, RADAR SYSTEM |
US10025890B2 (en) | 2014-07-11 | 2018-07-17 | Advanced Testing Technologies, Inc. | Phase noise simulation model for pulse doppler radar target detection |
WO2017053263A1 (en) * | 2015-09-24 | 2017-03-30 | Sikorsky Aircraft Corporation | System and method for filtering sensor data associated with an air transport procedure |
JP6818541B2 (en) * | 2016-03-14 | 2021-01-20 | パナソニック株式会社 | Radar device and positioning method |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US4713664A (en) * | 1985-05-24 | 1987-12-15 | Westinghouse Electric Corp. | Point clutter threshold determination for radar systems |
US5644315A (en) | 1995-10-27 | 1997-07-01 | Long; Maurice W. | Doppler ratio detection radar with range CFAR |
WO1998022834A1 (en) | 1996-11-22 | 1998-05-28 | Itt Manufacturing Enterprises, Inc. | Integrated precision approach radar display |
Family Cites Families (18)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US3737900A (en) * | 1967-09-25 | 1973-06-05 | Rockwell International Corp | Digital doppler processor |
US3707718A (en) * | 1969-02-18 | 1972-12-26 | Westinghouse Electric Corp | Radar system |
US3787850A (en) * | 1972-11-07 | 1974-01-22 | Us Air Force | Airborne analog moving target detector |
US4137532A (en) * | 1977-04-29 | 1979-01-30 | Westinghouse Electric Corp. | VIP doppler filter bank signal processor for pulse doppler radar |
US4318099A (en) * | 1980-02-21 | 1982-03-02 | The United States Of America As Represented By The Secretary Of The Navy | Clutter filter using a minimum number of radar pulses |
US4459592A (en) * | 1980-10-31 | 1984-07-10 | Long Maurice W | Methods of and circuits for suppressing doppler radar clutter |
US4400700A (en) * | 1981-06-08 | 1983-08-23 | The United States Of America As Represented By The Secretary Of The Army | Doppler frequency analysis of radar signals |
DE3332614A1 (en) | 1983-09-09 | 1985-03-21 | Siemens AG, 1000 Berlin und 8000 München | Pulse-Doppler radar receiver with an interference suppression circuit |
DE4017849C3 (en) | 1990-06-02 | 1995-10-26 | Alliedsignal Elac Nautik Gmbh | Circuit arrangement for interference suppression in the received signal from sonar systems |
US5173706A (en) * | 1991-04-16 | 1992-12-22 | General Electric Company | Radar processor with range sidelobe reduction following doppler filtering |
FR2683913B1 (en) | 1991-11-19 | 1994-03-25 | Thomson Applic Radars Centre | HIGH VISIBILITY PROCESSING AND DETECTION METHOD AND DEVICE FOR SPECTRAL ANALYSIS OF A SAMPLE SIGNAL AND APPLICATIONS, IN PARTICULAR TO DOPPLER RADARS. |
US5481270A (en) * | 1994-03-04 | 1996-01-02 | Martin Marietta Corporation | Radar with adaptive range sidelobe suppression |
US7969344B1 (en) * | 2000-10-05 | 2011-06-28 | COLSA Corporation | Methods and systems for improved extraction of a signal from a noisy environment |
US6734820B2 (en) * | 2002-05-13 | 2004-05-11 | Honeywell International Inc. | Methods and apparatus for conversion of radar return data |
US6674397B2 (en) * | 2002-05-13 | 2004-01-06 | Honeywell International Inc. | Methods and apparatus for minimum computation phase demodulation |
US8014787B2 (en) * | 2003-08-07 | 2011-09-06 | Agere Systems Inc. | System and method for discriminating radar transmissions from wireless network transmissions and wireless network having radar-avoidance capability |
US7924218B2 (en) * | 2004-09-03 | 2011-04-12 | American Systems Corp. | System for enhanced detection of a target |
DE602006013890D1 (en) * | 2006-06-30 | 2010-06-02 | Ericsson Telefon Ab L M | METHOD, USE OF THE METHOD AND ARRANGEMENTS IN AN ELECTRONIC SUPPORT MEASUREMENT SYSTEM |
-
2008
- 2008-08-05 EP EP08788634.7A patent/EP2183615B1/en active Active
- 2008-08-05 WO PCT/GB2008/050663 patent/WO2009027718A1/en active Application Filing
- 2008-08-05 DK DK08788634.7T patent/DK2183615T3/en active
- 2008-08-05 AU AU2008291893A patent/AU2008291893B2/en active Active
- 2008-08-05 US US12/295,961 patent/US8125374B2/en active Active
- 2008-08-05 ES ES08788634.7T patent/ES2634418T3/en active Active
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US4713664A (en) * | 1985-05-24 | 1987-12-15 | Westinghouse Electric Corp. | Point clutter threshold determination for radar systems |
US5644315A (en) | 1995-10-27 | 1997-07-01 | Long; Maurice W. | Doppler ratio detection radar with range CFAR |
WO1998022834A1 (en) | 1996-11-22 | 1998-05-28 | Itt Manufacturing Enterprises, Inc. | Integrated precision approach radar display |
Non-Patent Citations (1)
Title |
---|
MYERS H ET AL: "PROCESSING TECHNIQUES FOR SURFACE SURVEILLANCE RADARS IN LITTORAL ENVIRONMENTS", INTERNATIONAL RADAR CONFERENCE. ALEXANDRIA, MAY 8 - 11, 1995; [INTERNATIONAL RADAR CONFERENCE], NEW YORK, IEEE, US, 8 May 1995 (1995-05-08), pages 33 - 38, XP000529109, ISBN: 978-0-7803-2121-2 * |
Cited By (14)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US8823579B2 (en) | 2009-03-11 | 2014-09-02 | Bae Systems Plc | Sensor for determining velocity |
WO2010103309A1 (en) * | 2009-03-11 | 2010-09-16 | Bae Systems Plc | Sensor for determining velocity |
EP2228667A1 (en) * | 2009-03-11 | 2010-09-15 | BAE Systems PLC | Sensor for determining velocity |
AU2010340813B2 (en) * | 2010-01-07 | 2015-01-15 | Bae Systems Plc | A method of detecting a clutter return at a sensor |
EP2345909A1 (en) * | 2010-01-07 | 2011-07-20 | BAE Systems PLC | A method of detecting a clutter return at a sensor |
WO2011083301A1 (en) * | 2010-01-07 | 2011-07-14 | Bae Systems Plc | A method of detecting a clutter return at a sensor |
US9121941B2 (en) | 2010-01-07 | 2015-09-01 | Bae Systems Plc | Method of detecting a clutter return at a sensor |
WO2011138598A1 (en) * | 2010-05-04 | 2011-11-10 | Bae Systems Plc | Tracker false alarm rate control |
EP2386874A1 (en) * | 2010-05-04 | 2011-11-16 | BAE SYSTEMS plc | Tracker false alarm rate control |
EP2706374A1 (en) * | 2012-09-05 | 2014-03-12 | Furuno Electric Co., Ltd. | Signal processing device, radar apparatus, target object method |
JP2014052214A (en) * | 2012-09-05 | 2014-03-20 | Furuno Electric Co Ltd | Doppler processing apparatus, radar apparatus, doppler processing method, and doppler processing program |
US9354303B2 (en) | 2012-09-05 | 2016-05-31 | Furuno Electric Co., Ltd. | Signal processing device, radar apparatus, target object method |
US20220011423A1 (en) * | 2020-07-13 | 2022-01-13 | Qualcomm Incorporated | Range dependent false alarm reduction in radar object detection |
US11630196B2 (en) * | 2020-07-13 | 2023-04-18 | Qualcomm Incorporated | Range dependent false alarm reduction in radar object detection |
Also Published As
Publication number | Publication date |
---|---|
US8125374B2 (en) | 2012-02-28 |
EP2183615A1 (en) | 2010-05-12 |
AU2008291893B2 (en) | 2013-04-11 |
ES2634418T3 (en) | 2017-09-27 |
DK2183615T3 (en) | 2017-07-17 |
EP2183615B1 (en) | 2017-06-21 |
US20100158152A1 (en) | 2010-06-24 |
AU2008291893A1 (en) | 2009-03-05 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
AU2008291893B2 (en) | Method of preventing false detections in sensors | |
EP3173812B1 (en) | A vehicle radar system arranged for reducing interference | |
JP6564472B2 (en) | Vehicle radar system | |
EP3244229A1 (en) | A vehicle radar system arranged for interference reduction | |
US6809682B1 (en) | Method and device for the detection and track of targets in high clutter | |
EP2677342B1 (en) | Radar device and method of processing reflection signal | |
US5644315A (en) | Doppler ratio detection radar with range CFAR | |
US8305261B2 (en) | Adaptive mainlobe clutter method for range-Doppler maps | |
US6307501B1 (en) | Radar systems | |
US9121941B2 (en) | Method of detecting a clutter return at a sensor | |
JPH0259951B2 (en) | ||
US10120070B2 (en) | Detection device, radar device, detection method, and detection program | |
EP2345909A1 (en) | A method of detecting a clutter return at a sensor | |
GB2074807A (en) | M.T.I. radar processor | |
JPH045033Y2 (en) | ||
Anala et al. | MATLAB Implementation of Scan-to-Scan Discriminator for the Detection of Marine Targets | |
Kim et al. | An Efficient Scan-to-Scan Integration/Correlation Algorithm for Sea Surveillance Radar | |
JPH057665B2 (en) |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
WWE | Wipo information: entry into national phase |
Ref document number: 12295961 Country of ref document: US |
|
121 | Ep: the epo has been informed by wipo that ep was designated in this application |
Ref document number: 08788634 Country of ref document: EP Kind code of ref document: A1 |
|
WWE | Wipo information: entry into national phase |
Ref document number: 2008291893 Country of ref document: AU |
|
WWE | Wipo information: entry into national phase |
Ref document number: 1293/DELNP/2010 Country of ref document: IN |
|
NENP | Non-entry into the national phase |
Ref country code: DE |
|
REEP | Request for entry into the european phase |
Ref document number: 2008788634 Country of ref document: EP |
|
WWE | Wipo information: entry into national phase |
Ref document number: 2008788634 Country of ref document: EP |
|
ENP | Entry into the national phase |
Ref document number: 2008291893 Country of ref document: AU Date of ref document: 20080805 Kind code of ref document: A |