JP2020008536A - Device and program for target detection - Google Patents

Device and program for target detection Download PDF

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JP2020008536A
JP2020008536A JP2018132692A JP2018132692A JP2020008536A JP 2020008536 A JP2020008536 A JP 2020008536A JP 2018132692 A JP2018132692 A JP 2018132692A JP 2018132692 A JP2018132692 A JP 2018132692A JP 2020008536 A JP2020008536 A JP 2020008536A
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rainfall
target
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cloud
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一幸 小林
Kazuyuki Kobayashi
一幸 小林
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Japan Radio Co Ltd
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Abstract

To allow for reliably detecting a target object having small radar cross-sectional area in a rainfall area or cloud area using techniques other than increasing radar transmission power, radar receiver sensitivity, and radar reception antenna gain, and suppressing weather clutter.SOLUTION: A target detection device 3 of the present disclosure comprises: a weather measurement unit 31 configured to perform radar measurements on at least either of rainfall, cloud cover, wind direction, and wind velocity; and a target detection unit 32 configured to detect the presence of a target in a rainfall area or a cloud area on the basis of the presence of disturbance in at least either of rainfall, cloud cover, wind direction, and wind velocity.SELECTED DRAWING: Figure 1

Description

本開示は、降雨域又は雲領域のレーダ断面積が小さい目標を検出する技術に関する。   The present disclosure relates to a technique for detecting a target having a small radar cross-sectional area in a rainfall area or a cloud area.

降雨域又は雲領域のレーダ断面積が小さい目標を検出する技術が、特許文献１等に開示されている。特許文献１では、レーダ送信電力を高くすることにより、レーダ受信電力を高くすることができるため、降雨域又は雲領域のレーダ断面積が小さい目標を検出することができる。   A technique for detecting a target having a small radar cross-sectional area in a rainfall region or a cloud region is disclosed in Patent Document 1 or the like. In Patent Literature 1, since the radar reception power can be increased by increasing the radar transmission power, it is possible to detect a target having a small radar cross-sectional area in a rainfall region or a cloud region.

特開２０１６−０７５６１５号公報JP-A-2006-075615

そして、他の従来技術として、レーダ受信機の感度を高くしたり、レーダ受信アンテナの利得を高くしたり、気象クラッタを抑圧することにより、降雨域又は雲領域のレーダ断面積が小さい目標を検出することができる。しかし、特許文献１及び他の従来技術であっても、降雨域又は雲領域のレーダ断面積が小さい目標を確実には検出することができなかった。   Then, as another conventional technique, a target having a small radar cross-sectional area in a rainfall region or a cloud region is detected by increasing the sensitivity of a radar receiver, increasing the gain of a radar reception antenna, or suppressing weather clutter. can do. However, even in Patent Literature 1 and other related arts, it was not possible to reliably detect a target having a small radar cross-sectional area in a rainfall area or a cloud area.

そこで、前記課題を解決するために、本開示は、レーダ送信電力を高くしたり、レーダ受信機の感度を高くしたり、レーダ受信アンテナの利得を高くしたり、気象クラッタを抑圧する以外に、降雨域又は雲領域のレーダ断面積が小さい目標を確実に検出することを目的とする。   Therefore, in order to solve the above-described problems, the present disclosure increases the radar transmission power, increases the sensitivity of the radar receiver, increases the gain of the radar reception antenna, and suppresses weather clutter, It is an object to reliably detect a target having a small radar cross-sectional area in a rainfall area or a cloud area.

上記目的を達成するために、降雨域又は雲領域のレーダ断面積が小さい目標であっても、雨量、雲量、風向及び風速に及ぼす、周囲とは異なる擾乱を検出することとした。   In order to achieve the above object, even if the target has a small radar cross-sectional area in a rainfall area or a cloud area, a disturbance different from the surroundings on rainfall, cloudiness, wind direction and wind speed is detected.

具体的には、本開示は、雨量、雲量、風向及び風速の少なくともいずれかをレーダ計測する気象計測部と、雨量、雲量、風向及び風速の少なくともいずれかの擾乱の存在に基づいて、降雨域又は雲領域の目標の存在を検出する目標検出部と、を備えることを特徴とする目標検出装置である。   Specifically, the present disclosure, rainfall, cloudiness, a weather measurement unit that radar-measures at least one of wind direction and wind speed, rainfall, cloudiness, wind direction and wind speed based on the presence of at least one disturbance, rainfall area Or a target detection unit that detects the presence of a target in a cloud area.

また、本開示は、雨量、雲量、風向及び風速の少なくともいずれかをレーダ計測する気象計測ステップと、雨量、雲量、風向及び風速の少なくともいずれかの擾乱の存在に基づいて、降雨域又は雲領域の目標の存在を検出する目標検出ステップと、を順にコンピュータに実行させるための目標検出プログラムである。   The present disclosure also includes a meteorological measurement step of radar measurement of at least one of rainfall, cloudiness, wind direction and wind speed, and a rainfall region or a cloud area based on the presence of disturbance of at least one of rainfall, cloudiness, wind direction and wind speed. And a target detecting step of detecting the presence of the target.

これらの構成によれば、降雨域又は雲領域のレーダ断面積が小さい目標を検出することができ、気象クラッタに埋もれた物体も検出することができる。   According to these configurations, it is possible to detect a target having a small radar cross-sectional area in a rainfall area or a cloud area, and to detect an object buried in weather clutter.

また、本開示は、雨量、雲量、風向及び風速の少なくともいずれかについての前記擾乱とその周囲との相違に基づいて、降雨域又は雲領域の前記目標の種類を判別する種類判別部、をさらに備えることを特徴とする目標検出装置である。   Further, the present disclosure further includes a type determination unit that determines the type of the target in a rainfall area or a cloud area based on a difference between the disturbance and the surroundings of at least one of rainfall, cloudiness, wind direction, and wind speed. A target detection device comprising:

この構成によれば、レーダ断面積が小さい目標又は気象クラッタに埋もれた物体がどのような目標又は物体であるかを、区別したうえで検出することができる。   According to this configuration, it is possible to detect the target or the object buried in the target or the weather clutter with a small radar cross-sectional area after distinguishing between the target and the object.

また、本開示は、前記種類判別部は、さらに降雨域又は雲領域の前記目標からのレーダ反射強度の大小に基づいて、降雨域又は雲領域の前記目標のレーダ断面積の大小を判別することを特徴とする目標検出装置である。   Further, in the present disclosure, the type determination unit may further determine the magnitude of the radar cross-sectional area of the target in the rainfall area or the cloud area based on the magnitude of the radar reflection intensity from the target in the rainfall area or the cloud area. Is a target detection device.

この構成によれば、降雨域又は雲領域のレーダ断面積が小さい目標を、降雨域又は雲領域のレーダ断面積が大きい目標から、より確実に区別したうえで検出することができる。   According to this configuration, a target having a small radar cross-sectional area in a rainy region or a cloud region can be detected after being more reliably distinguished from a target having a large radar cross-sectional area in a rainy region or a cloud region.

また、本開示は、前記種類判別部は、さらに前記擾乱の範囲の寸法、形状及び運動態様の少なくともいずれかに基づいて、降雨域又は雲領域の前記目標の種類を判別することを特徴とする目標検出装置である。   Further, in the present disclosure, the type determination unit may further determine the type of the target in a rainfall region or a cloud region based on at least one of a size, a shape, and a movement mode of the range of the disturbance. It is a target detection device.

この構成によれば、レーダ断面積が小さい目標又は気象クラッタに埋もれた物体がどのような目標又は物体であるかを、より確実に区別したうえで検出することができる。   According to this configuration, it is possible to detect the target or the object buried in the target or the weather clutter with a small radar cross-sectional area after more reliably distinguishing the target or the object.

このように、本開示は、レーダ送信電力を高くしたり、レーダ受信機の感度を高くしたり、レーダ受信アンテナの利得を高くしたり、気象クラッタを抑圧する以外に、降雨域又は雲領域のレーダ断面積が小さい目標を確実に検出することができる。   Thus, the present disclosure increases the radar transmission power, increases the sensitivity of the radar receiver, increases the gain of the radar receiving antenna, and suppresses weather clutter, as well as in the rainfall region or cloud region. A target having a small radar cross-sectional area can be reliably detected.

本開示のレーダ目標検出システムの構成を示す図である。FIG. 1 is a diagram illustrating a configuration of a radar target detection system according to the present disclosure. 本開示の目標検出処理の手順を示す図である。FIG. 13 is a diagram illustrating a procedure of a target detection process according to the present disclosure. 本開示の目標検出部の擾乱検出処理を示す図である。FIG. 7 is a diagram illustrating a disturbance detection process of a target detection unit according to the present disclosure. 本開示の種類判別部の擾乱特性判別処理を示す図である。FIG. 11 is a diagram illustrating a disturbance characteristic determination process of a type determination unit according to the present disclosure. 本開示の種類判別部のレーダ断面積判別処理を示す図である。FIG. 14 is a diagram illustrating a radar cross-sectional area determination process of a type determination unit according to the present disclosure. 本開示の種類判別部の擾乱範囲判別処理を示す図である。FIG. 11 is a diagram illustrating a disturbance range determination process of a type determination unit according to the present disclosure.

添付の図面を参照して本開示の実施形態を説明する。以下に説明する実施形態は本開示の実施の例であり、本開示は以下の実施形態に制限されるものではない。   Embodiments of the present disclosure will be described with reference to the accompanying drawings. The embodiments described below are examples of the present disclosure, and the present disclosure is not limited to the following embodiments.

本開示のレーダ目標検出システムの構成を図１に示す。本開示の目標検出処理の手順を図２に示す。レーダ目標検出システムＲは、レーダ送信部１、レーダ受信部２、目標検出装置３及びレーダ映像表示部４から構成される。目標検出装置３は、気象計測部３１、目標検出部３２及び種類判別部３３から構成され、図２に示したような目標検出プログラムをコンピュータにインストールすることにより実現することができる。   FIG. 1 shows the configuration of a radar target detection system according to the present disclosure. FIG. 2 illustrates a procedure of the target detection processing according to the present disclosure. The radar target detection system R includes a radar transmission unit 1, a radar reception unit 2, a target detection device 3, and a radar image display unit 4. The target detection device 3 includes a weather measurement unit 31, a target detection unit 32, and a type determination unit 33, and can be realized by installing a target detection program as shown in FIG. 2 on a computer.

レーダ送信部１は、空中に向けてレーダビームを照射する。レーダ受信部２は、空中で反射されたレーダビームを受信する。レーダ映像表示部４は、目標検出装置３が取得、処理及び作成したレーダ映像のデータを映像化して表示する。   The radar transmitting unit 1 emits a radar beam toward the air. The radar receiving unit 2 receives a radar beam reflected in the air. The radar image display unit 4 visualizes and displays radar image data acquired, processed, and created by the target detection device 3.

気象計測部３１は、雨量、雲量、風向及び風速の少なくともいずれかをレーダ計測する（ステップＳ１）。具体的には、気象計測部３１は、（１）気象クラッタのレーダ反射強度に基づいて、雨量及び雲量を計測し、（２）気象クラッタのドップラ速度に基づいて、風向及び風速を計測する。   The weather measurement unit 31 performs radar measurement of at least one of rainfall, cloudiness, wind direction, and wind speed (Step S1). Specifically, the weather measurement unit 31 measures (1) rainfall and cloudiness based on radar reflection intensity of weather clutter, and (2) measures wind direction and wind speed based on Doppler speed of weather clutter.

降雨域又は雲領域のレーダ断面積が小さい目標であっても、雨量、雲量、風向及び風速に対して、周囲とは異なる擾乱を及ぼす。気象クラッタに埋もれた物体も、雨量、雲量、風向及び風速に対して、周囲とは異なる擾乱を及ぼす。   Even a target having a small radar cross-sectional area in a rainfall area or a cloud area exerts a different disturbance on rainfall, cloudiness, wind direction and wind speed from the surroundings. Objects buried in weather clutter also cause different disturbances to rainfall, cloudiness, wind direction and speed.

目標検出部３２は、雨量、雲量、風向及び風速の少なくともいずれかの擾乱の存在に基づいて、降雨域又は雲領域の目標の存在を検出する（ステップＳ２）。本開示の目標検出処理の手順を図３に示す。図３に示したレーダ映像Ｉでは、レーダ反射強度とともに、雨量、雲量、風向及び風速の少なくともいずれかが表示される。   The target detection unit 32 detects the presence of a target in a rainfall area or a cloud area based on the presence of disturbance of at least one of the rainfall, the cloudiness, the wind direction, and the wind speed (Step S2). FIG. 3 illustrates a procedure of the target detection processing according to the present disclosure. In the radar image I shown in FIG. 3, at least one of rainfall, cloudiness, wind direction and wind speed is displayed together with the radar reflection intensity.

ここで、図３において、背景場Ｂについては、雨量、雲量、風向及び風速の少なくともいずれかが変動する空間スケールが、レーダ覆域全体にわたっている。一方で、擾乱Ｄについては、雨量、雲量、風向及び風速の少なくともいずれかが変動する空間スケールが、目標Ｔの周囲のみにわたっている。   Here, in FIG. 3, in the background field B, the spatial scale in which at least one of the rainfall, the cloudiness, the wind direction, and the wind speed fluctuates is over the entire radar coverage. On the other hand, as for the disturbance D, the spatial scale in which at least one of the rainfall, the cloudiness, the wind direction, and the wind speed fluctuates extends only around the target T.

そこで、図３の上段では、目標検出部３２は、背景場Ｂに埋もれた擾乱Ｄの存在を検出することにより、降雨域又は雲領域の目標Ｔの存在を検出する。一方で、図３の下段では、目標検出部３２は、背景場Ｂを除去して擾乱Ｄの存在を検出することにより、降雨域又は雲領域の目標Ｔの存在を検出する。   Therefore, in the upper part of FIG. 3, the target detection unit 32 detects the presence of the disturbance D buried in the background field B, thereby detecting the presence of the target T in the rainfall area or the cloud area. On the other hand, in the lower part of FIG. 3, the target detection unit 32 detects the presence of the target T in the rainfall region or the cloud region by removing the background field B and detecting the presence of the disturbance D.

このように、降雨域又は雲領域のレーダ断面積が小さい目標Ｔを検出することができ、気象クラッタに埋もれた物体も検出することができる。   As described above, the target T having a small radar cross-sectional area in the rainfall area or the cloud area can be detected, and an object buried in weather clutter can be detected.

種類判別部３３は、雨量、雲量、風向及び風速の少なくともいずれかについての上記擾乱とその周囲との相違に基づいて、降雨域又は雲領域の目標の種類を判別する（ステップＳ３）。本開示の種類判別部の擾乱特性判別処理を図４に示す。   The type determination unit 33 determines the type of the target in the rainfall region or the cloud region based on the difference between the disturbance and at least one of the rainfall, the cloudiness, the wind direction, and the wind speed (step S3). FIG. 4 illustrates a disturbance characteristic determination process of the type determination unit according to the present disclosure.

図４の上段では、航空機Ｐが飛行機雲Ｃ及び／又はジェット流Ｊを残すことにより、雨量、雲量、風向及び風速に対して、航空機Ｐの飛行機雲Ｃ及び／又はジェット流Ｊに特有の擾乱を及ぼす。そこで、種類判別部３３は、雨量、雲量、風向及び風速の少なくともいずれかについての上記擾乱とその周囲との相違に基づいて、目標Ｔの種類として飛行機雲Ｃ及び／又はジェット流Ｊを残した航空機Ｐを判別する。   In the upper part of FIG. 4, the aircraft P leaves the contrails C and / or the jet stream J, so that the rainfall, the cloud amount, the wind direction and the wind speed are peculiar to the contrails C and / or the jet stream J of the aircraft P. Effect. Therefore, the type determining unit 33 leaves the contrails C and / or the jet stream J as the types of the target T based on the difference between the disturbance and at least one of the rainfall, the cloudiness, the wind direction, and the wind speed. The aircraft P is determined.

図４の下段では、ヘリコプターＨが下降気流Ａを残すことにより、雨量、雲量、風向及び風速に対して、ヘリコプターＨの下降気流Ａに特有の擾乱を及ぼす。そこで、種類判別部３３は、雨量、雲量、風向及び風速の少なくともいずれかについての上記擾乱とその周囲との相違に基づいて、目標Ｔの種類として下降気流Ａを残したヘリコプターＨを判別する。   In the lower part of FIG. 4, the helicopter H leaves the descending airflow A, so that the rainfall, the cloud amount, the wind direction, and the wind speed have a specific disturbance to the descending airflow A of the helicopter H. Therefore, the type determination unit 33 determines the helicopter H that has left the descending airflow A as the type of the target T, based on the difference between the disturbance and at least one of the rainfall, the cloudiness, the wind direction, and the wind speed.

航空機Ｐの周囲の気圧分布により、雨量、雲量、風向及び風速に対して、航空機Ｐの周囲の気圧分布に特有の擾乱を及ぼす。ヘリコプターＨの周囲の気圧分布により、雨量、雲量、風向及び風速に対して、ヘリコプターＨの周囲の気圧分布に特有の擾乱を及ぼす。そこで、種類判別部３３は、雨量、雲量、風向及び風速の少なくともいずれかについての上記擾乱とその周囲との相違に基づいて、目標Ｔの種類として上記の物体を判別する。   The pressure distribution around the aircraft P exerts a disturbance peculiar to the pressure distribution around the aircraft P on rainfall, cloudiness, wind direction and wind speed. The pressure distribution around the helicopter H exerts a disturbance peculiar to the pressure distribution around the helicopter H on rainfall, cloudiness, wind direction and wind speed. Therefore, the type determining unit 33 determines the type of the target T as the type of the target T based on a difference between the disturbance and at least one of the rainfall, the cloudiness, the wind direction, and the wind speed.

このように、レーダ断面積が小さい目標Ｔ又は気象クラッタに埋もれた物体がどのような目標Ｔ又は物体であるかを、区別したうえで検出することができる。   As described above, it is possible to detect the target T or the object buried in the weather clutter having a small radar cross-sectional area as the target T or the object after being distinguished.

種類判別部３３は、さらに降雨域又は雲領域の目標からのレーダ反射強度の大小に基づいて、降雨域又は雲領域の目標のレーダ断面積の大小を判別する（ステップＳ４）。本開示の種類判別部のレーダ断面積判別処理を図５に示す。図５に示したレーダ映像Ｉでは、レーダ反射強度とともに、雨量、雲量、風向及び風速の少なくともいずれかが表示される。   The type determination unit 33 further determines the magnitude of the radar cross-sectional area of the target in the rainfall area or the cloud area based on the magnitude of the radar reflection intensity from the target in the rainfall area or the cloud area (step S4). FIG. 5 illustrates a radar cross-sectional area determination process of the type determination unit according to the present disclosure. In the radar image I shown in FIG. 5, at least one of rainfall, cloudiness, wind direction and wind speed is displayed together with the radar reflection intensity.

図５の上段では、種類判別部３３は、飛行機雲Ｃ及び／又はジェット流Ｊを残した航空機Ｐからのレーダ反射強度が大きいことに基づいて、航空機Ｐのレーダ断面積が大きいことを判別する。   In the upper part of FIG. 5, the type determination unit 33 determines that the radar cross-sectional area of the aircraft P is large based on the large radar reflection intensity from the aircraft P that has left the contrails C and / or the jet stream J. .

図５の下段では、種類判別部３３は、飛行機雲Ｃ及び／又はジェット流Ｊを残した航空機Ｐからのレーダ反射強度が小さいことに基づいて、航空機Ｐのレーダ断面積が小さいことを判別する。   In the lower part of FIG. 5, the type determination unit 33 determines that the radar cross-sectional area of the aircraft P is small based on the small radar reflection intensity from the aircraft P leaving the contrail C and / or the jet stream J. .

このように、降雨域又は雲領域のレーダ断面積が小さい目標Ｔを、降雨域又は雲領域のレーダ断面積が大きい目標Ｔから、より確実に区別したうえで検出することができる。   As described above, the target T having a small radar cross-sectional area in the rainfall area or the cloud area can be detected after being more reliably distinguished from the target T having a large radar cross-sectional area in the rainfall area or the cloud area.

種類判別部３３は、さらに上記擾乱の範囲の寸法、形状及び運動態様の少なくともいずれかに基づいて、降雨域又は雲領域の目標の種類を判別する（ステップＳ５）。本開示の種類判別部の擾乱範囲判別処理を図６に示す。図６に示したレーダ映像Ｉでは、レーダ反射強度とともに、雨量、雲量、風向及び風速の少なくともいずれかが表示される。   The type determination unit 33 further determines the type of the target in the rainfall region or the cloud region based on at least one of the size, shape, and movement mode of the disturbance range (step S5). FIG. 6 illustrates a disturbance range determination process of the type determination unit according to the present disclosure. In the radar image I shown in FIG. 6, at least one of rainfall, cloudiness, wind direction and wind speed is displayed together with the radar reflection intensity.

図６の上段では、航空機Ｐが飛行機雲Ｃ及び／又はジェット流Ｊを残すことにより、雨量、雲量、風向及び風速に対して、航空機Ｐの飛行機雲Ｃ及び／又はジェット流Ｊに特有の擾乱を及ぼす。そこで、種類判別部３３は、雨量、雲量、風向及び風速の少なくともいずれかについての上記擾乱とその周囲との相違に基づいて、目標Ｔの種類として飛行機雲Ｃ及び／又はジェット流Ｊを残した航空機Ｐを判別する。そして、種類判別部３３は、上記擾乱Ｄの範囲の寸法が大きく、上記擾乱Ｄの範囲の水平長さが大きく、上記擾乱Ｄの範囲の移動速度が大きいことに基づいて、目標Ｔの種類として飛行機雲Ｃ及び／又はジェット流Ｊを残した航空機Ｐをより確実に判別する。   In the upper part of FIG. 6, the aircraft P leaves the contrails C and / or the jet stream J, so that the rainfall, the cloud amount, the wind direction, and the wind speed are peculiar to the contrails C and / or the jet stream J of the aircraft P. Effect. Therefore, the type discriminating unit 33 leaves the contrails C and / or the jet stream J as the types of the target T based on the difference between the disturbance and at least one of the rainfall, the cloudiness, the wind direction, and the wind speed. The aircraft P is determined. The type determining unit 33 determines the type of the target T based on the fact that the size of the range of the disturbance D is large, the horizontal length of the range of the disturbance D is large, and the moving speed of the range of the disturbance D is large. The aircraft P that has left the contrails C and / or the jet stream J is more reliably determined.

図６の下段では、ヘリコプターＨが下降気流Ａを残すことにより、雨量、雲量、風向及び風速に対して、ヘリコプターＨの下降気流Ａに特有の擾乱を及ぼす。そこで、種類判別部３３は、雨量、雲量、風向及び風速の少なくともいずれかについての上記擾乱とその周囲との相違に基づいて、目標Ｔの種類として下降気流Ａを残したヘリコプターＨを判別する。そして、種類判別部３３は、上記擾乱Ｄの範囲の寸法が小さく、上記擾乱Ｄの範囲の鉛直長さが大きく、上記擾乱Ｄの範囲の移動速度が小さいことに基づいて、目標Ｔの種類として下降気流Ａを残したヘリコプターＨをより確実に判別する。   In the lower part of FIG. 6, the helicopter H leaves the descending airflow A, so that the rainfall, the cloud amount, the wind direction, and the wind speed have a peculiar disturbance to the descending airflow A of the helicopter H. Therefore, the type determination unit 33 determines the helicopter H that has left the descending airflow A as the type of the target T, based on the difference between the disturbance and at least one of the rainfall, the cloudiness, the wind direction, and the wind speed. The type determination unit 33 determines the type of the target T based on the fact that the size of the range of the disturbance D is small, the vertical length of the range of the disturbance D is large, and the moving speed of the range of the disturbance D is small. The helicopter H that has left the downdraft A is more reliably determined.

このように、レーダ断面積が小さい目標Ｔ又は気象クラッタに埋もれた物体がどのような目標Ｔ又は物体であるかを、より確実に区別したうえで検出することができる。   In this way, it is possible to detect the target T or the object buried in the weather clutter having a small radar cross-sectional area as the target T or the object after more reliably distinguishing.

本開示の目標検出装置及び目標検出プログラムは、レーダ送信電力を高くしたり、レーダ受信機の感度を高くしたり、レーダ受信アンテナの利得を高くしたり、気象クラッタを抑圧する以外に、降雨域又は雲領域のレーダ断面積が小さい目標を確実に検出することができる。   The target detection device and the target detection program according to the present disclosure increase the radar transmission power, increase the sensitivity of the radar receiver, increase the gain of the radar reception antenna, and suppress the weather clutter. Alternatively, a target having a small radar cross-sectional area in the cloud area can be reliably detected.

Ｒ：レーダ目標検出システム
１：レーダ送信部
２：レーダ受信部
３：目標検出装置
４：レーダ映像表示部
３１：気象計測部
３２：目標検出部
３３：種類判別部
Ｉ：レーダ映像
Ｂ：背景場
Ｔ：目標
Ｄ：擾乱
Ｐ：航空機
Ｃ：飛行機雲
Ｊ：ジェット流
Ｈ：ヘリコプター
Ａ：下降気流 R: radar target detection system 1: radar transmission unit 2: radar reception unit 3: target detection device 4: radar image display unit 31: weather measurement unit 32: target detection unit 33: type determination unit I: radar image B: background field T: Target D: Disturbance P: Aircraft C: Contrail J: Jet flow H: Helicopter A: Downdraft

Claims (5)

雨量、雲量、風向及び風速の少なくともいずれかをレーダ計測する気象計測部と、
雨量、雲量、風向及び風速の少なくともいずれかの擾乱の存在に基づいて、降雨域又は雲領域の目標の存在を検出する目標検出部と、
を備えることを特徴とする目標検出装置。 A meteorological measurement unit for radar measurement of at least one of rainfall, cloudiness, wind direction and wind speed,
Rainfall, cloudiness, based on the presence of at least any disturbance of the wind direction and wind speed, a target detection unit that detects the presence of a target in the rainfall area or cloud area,
A target detection device comprising: 雨量、雲量、風向及び風速の少なくともいずれかについての前記擾乱とその周囲との相違に基づいて、降雨域又は雲領域の前記目標の種類を判別する種類判別部、
をさらに備えることを特徴とする、請求項１に記載の目標検出装置。 Rain amount, cloud amount, a wind direction and a type determination unit that determines the type of the target in a cloud region based on a difference between the disturbance and at least one of the wind direction and the surrounding area,
The target detection apparatus according to claim 1, further comprising: 前記種類判別部は、さらに降雨域又は雲領域の前記目標からのレーダ反射強度の大小に基づいて、降雨域又は雲領域の前記目標のレーダ断面積の大小を判別する
ことを特徴とする、請求項２に記載の目標検出装置。 The type determination unit further determines the magnitude of the radar cross-sectional area of the target in the rainfall area or the cloud area based on the magnitude of the radar reflection intensity from the target in the rainfall area or the cloud area. Item 3. The target detection device according to Item 2. 前記種類判別部は、さらに前記擾乱の範囲の寸法、形状及び運動態様の少なくともいずれかに基づいて、降雨域又は雲領域の前記目標の種類を判別する
ことを特徴とする、請求項２又は３に記載の目標検出装置。 The said type discrimination part discriminate | determines the type of the said target of a rainfall area or a cloud area further based on at least any one of the size of the range of a disturbance, a shape, and a movement mode. The said Claim 2 or 3 characterized by the above-mentioned. 3. The target detection device according to claim 1. 雨量、雲量、風向及び風速の少なくともいずれかをレーダ計測する気象計測ステップと、
雨量、雲量、風向及び風速の少なくともいずれかの擾乱の存在に基づいて、降雨域又は雲領域の目標の存在を検出する目標検出ステップと、
を順にコンピュータに実行させるための目標検出プログラム。 A meteorological measurement step of radar measuring at least one of rainfall, cloudiness, wind direction and wind speed,
Rainfall, cloudiness, based on the presence of at least one disturbance of the wind direction and wind speed, a target detection step of detecting the presence of a target in the rainfall region or cloud region,
Target detection program for causing a computer to execute the steps in sequence.
JP2018132692A 2018-07-12 2018-07-12 Device and program for target detection Pending JP2020008536A (en)

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