JPH04326083A - Tracking processing apparatus - Google Patents

Tracking processing apparatus

Info

Publication number
JPH04326083A
JPH04326083A JP9690491A JP9690491A JPH04326083A JP H04326083 A JPH04326083 A JP H04326083A JP 9690491 A JP9690491 A JP 9690491A JP 9690491 A JP9690491 A JP 9690491A JP H04326083 A JPH04326083 A JP H04326083A
Authority
JP
Japan
Prior art keywords
time
speed
tracking processing
processing device
course
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
JP9690491A
Other languages
Japanese (ja)
Inventor
Masahiro Aono
青野 正宏
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.)
Mitsubishi Electric Corp
Original Assignee
Mitsubishi Electric Corp
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 Mitsubishi Electric Corp filed Critical Mitsubishi Electric Corp
Priority to JP9690491A priority Critical patent/JPH04326083A/en
Publication of JPH04326083A publication Critical patent/JPH04326083A/en
Pending legal-status Critical Current

Links

Abstract

PURPOSE:To obtain accurate movement estimation and to track as many moving body targets as possible by changing over first and second estimation means in estimating the movement of a moving body. CONSTITUTION:The data of a airplane inputted from a radar sensor l is converted into digital data by a target detector 2 and the position and altitude of the airplane are transmitted to a tracking processing apparatus 3. The apparatus 3 obtains the estimate position of this time and the course/speed of the previous time. When there are the data up to the previous time, a change-over means 3c operates and, when the input position of this time is present outside the certain distance determined on the basis of a parameter from the center of radar, a simple smooth formula is used to obtain the smooth position of this time and, when said input position is present inside said distance, a precise smoothing system is used to obtain the smooth position of this time. Next, the route/speed of this time is obtained from the difference between the estimate position and input position of this time and the course/speed of the previous time.

Description

【発明の詳細な説明】[Detailed description of the invention]

【0001】0001

【産業上の利用分野】この発明は追尾処理装置に関する
ものであり、たとえば、レーダを用いて航空機の管制を
支援する航空管制装置に関するものである。
BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a tracking processing device, and for example, to an air traffic control device that uses radar to support aircraft control.

【0002】0002

【従来の技術】図5は追尾処理装置を用いたシステムの
構成図である。1はレーダセンサ、2は目標検出装置、
3は追尾処理装置、4は表示装置である。
2. Description of the Related Art FIG. 5 is a block diagram of a system using a tracking processing device. 1 is a radar sensor, 2 is a target detection device,
3 is a tracking processing device, and 4 is a display device.

【0003】次に動作について説明する。レーダセンサ
1から入力された航空機の情報は、目標検出装置2によ
りアナログ情報からデジタル情報に変換され航空機の位
置・高度等を追尾処理装置3に送信する。追尾処理装置
3は図6のフローチャートに示すとおり、まずS1、S
2で前回に予測した今回の予測位置と前回の針路・速度
を得る。そして、前回までの情報がある場合は、S5で
今回の入力位置と前回の予測位置から所定の算式により
今回の平滑位置を得る。次にS6で今回の予測位置と今
回の入力位置の差、及び前回の針路・速度から今回の針
路・速度を得る。さらに、S9で今回の平滑位置及び針
路・速度から次回の予測位置を算出する。もし、S3の
判定で、前回までの情報がなく、初めて入力される航空
機の情報の場合には、S7、S8で速度ゼロ、平滑値=
入力値として計算を行う。最後に、S10で入力座標又
は平滑座標と針路・速度情報は表示装置に送られ表示さ
れる。
Next, the operation will be explained. Aircraft information input from the radar sensor 1 is converted from analog information to digital information by the target detection device 2, and the position, altitude, etc. of the aircraft is transmitted to the tracking processing device 3. As shown in the flowchart of FIG. 6, the tracking processing device 3 first performs S1, S
In step 2, obtain the current predicted position and previous course/speed predicted last time. If there is information up to the previous time, the current smoothed position is obtained from the current input position and the previous predicted position using a predetermined formula in S5. Next, in S6, the current course and speed are obtained from the difference between the current predicted position and the current input position, and the previous course and speed. Furthermore, in S9, the next predicted position is calculated from the current smoothed position, course, and speed. If the judgment in S3 is that there is no previous information and the aircraft information is being input for the first time, then in S7 and S8 the speed is zero and the smoothed value =
Perform calculations as input values. Finally, in S10, the input coordinates or smooth coordinates and course/speed information are sent to the display device and displayed.

【0004】0004

【発明が解決しようとする課題】従来の追尾処理装置は
単一の平滑・予測計算方式を採用しているので、正確な
平滑・予測位置を得ようとして複雑な算式を適用しよう
とすれば、演算処理負荷がかかり、処理可能な同時追尾
機数が少なく制約される。また同時に追尾する移動体の
数を多くしようとすれば、平滑・予測の算式を簡便にせ
ざるを得なくなり、正確な平滑・予測位置を得られない
等の問題点があった。
[Problems to be Solved by the Invention] Conventional tracking processing devices employ a single smoothing/predictive calculation method, so if you try to apply a complicated formula to obtain an accurate smoothing/predicting position, It imposes a computational processing load and limits the number of simultaneous tracking devices that can be processed. Furthermore, if an attempt is made to increase the number of moving objects to be simultaneously tracked, the calculation formula for smoothing and prediction must be simplified, resulting in problems such as the inability to obtain accurate smoothed and predicted positions.

【0005】この発明は上記のような問題点を解消する
ためになされたもので、必要に応じ正確な移動予測を得
ると共に、できる限り多くの移動体目標を追尾すること
を目的とする。
The present invention has been made to solve the above-mentioned problems, and aims to obtain accurate movement prediction as necessary and to track as many moving targets as possible.

【0006】[0006]

【課題を解決するための手段】この発明に係る追尾処理
装置は以下の要素を有するものである。(a)移動体の
移動状況から移動体の移動を予測する第1の予測手段、
(b)上記第1の予測手段とは異なる性能をもって、移
動体の移動状況から移動体の移動を予測する第2の予測
手段、(c)移動体の移動を予測するにあたり、上記第
1の予測手段と第2の予測手段を切り替えて予測する切
り替え手段。
[Means for Solving the Problems] A tracking processing device according to the present invention has the following elements. (a) a first prediction means for predicting the movement of the mobile object from the movement status of the mobile object;
(b) a second prediction means that predicts the movement of the moving object based on the moving situation of the moving object, with performance different from that of the first prediction means; A switching means for predicting by switching between a prediction means and a second prediction means.

【0007】[0007]

【作用】この発明に係る追尾処理装置は、性能が異なる
第1の予測手段と第2の予測手段を有しており、切り替
え手段は追尾する移動体の種類、距離、方向、速度等の
条件により、第1と第2の予測手段を切り替えるので、
その条件に適合した追尾が可能となる。
[Operation] The tracking processing device according to the present invention has a first prediction means and a second prediction means having different performances, and the switching means is controlled by conditions such as the type, distance, direction, speed, etc. of the moving object to be tracked. Since the first and second prediction means are switched by
Tracking that meets these conditions becomes possible.

【0008】[0008]

【実施例】【Example】

実施例1.以下、この発明の一実施例を図について説明
する。図1は、追尾処理装置の構成図である。1はレー
ダセンサ、2は目標検出装置、3は追尾処理装置、4は
表示装置である。追尾処理装置3には、第1の予測手段
3aとしてα・βトラッカー手法と、第2の予測手段3
bとしてトラック・オリエンテッド・スムージング手法
が備えられており、また、これらを切り替えるための切
り替え手段3cがある。
Example 1. An embodiment of the present invention will be described below with reference to the drawings. FIG. 1 is a configuration diagram of a tracking processing device. 1 is a radar sensor, 2 is a target detection device, 3 is a tracking processing device, and 4 is a display device. The tracking processing device 3 includes an α/β tracker method as a first prediction means 3a and a second prediction means 3.
A track-oriented smoothing method is provided as b, and a switching means 3c is provided for switching between these methods.

【0009】次に動作について説明する。レーダセンサ
ー1から入力された航空機の情報は、目標検出装置2に
よりアナログ情報からデジタル情報に変換され、航空機
の位置高度等を追尾処理装置3に送信する。追尾処理装
置3は図2のフローチャートに示すとおり、S1、S2
で前回に予測した今回の予測位置と前回の針路・速度を
得る。そして、S3で前回までの情報がある場合、S4
で、切り替え手段3cがはたらき、今回の入力位置がレ
ーダの中心よりパラメータで定めたある距離より外側に
あれば図3に示すα・βトラッカー手法に基づく簡易な
平滑式を用い今回の平滑位置を得る(S5a、S5b)
。内側にあれば図4に示すトラック・オリエンテッド・
スムージング手法に基づく精密な平滑式を用いて今回の
平滑位置を得る(S6a、S6b)。次にS9で今回の
予測位置と今回の入力位置の差及び前回の針路・速度か
ら今回の針路・速度を得る。この時用いる式は平滑式が
簡易な式を用いた場合は図3に示す簡易な速度計算式、
平滑式が精密な式を用いた場合は図4に示す精密な速度
計算式とする。S3で、前回までの情報がなく、初めて
入力される航空機の情報と判断された場合は、S7、S
8で速度ゼロ、平滑値=入力値として計算を行う。最後
にS10で入力座標又は平滑座標と針路・速度情報は表
示装置4に送られ表示される。
Next, the operation will be explained. The aircraft information input from the radar sensor 1 is converted from analog information to digital information by the target detection device 2, and the position altitude of the aircraft, etc. is transmitted to the tracking processing device 3. The tracking processing device 3 performs S1, S2 as shown in the flowchart of FIG.
Get the current predicted position and previous course/speed predicted last time. Then, if there is information up to the previous time in S3, S4
Then, the switching means 3c works, and if the current input position is outside a certain distance determined by the parameter from the center of the radar, the current smoothed position is changed using a simple smoothing formula based on the α/β tracker method shown in Fig. 3. obtain (S5a, S5b)
. If it is inside, the track oriented
The current smoothed position is obtained using a precise smoothing formula based on the smoothing method (S6a, S6b). Next, in S9, the current course and speed are obtained from the difference between the current predicted position and the current input position and the previous course and speed. The formula used at this time is the simple speed calculation formula shown in Figure 3 when a simple smoothing formula is used.
When a precise smoothing formula is used, the precise speed calculation formula shown in FIG. 4 is used. If it is determined in S3 that there is no previous information and this is the aircraft information being input for the first time, proceed to S7 and S.
8, the speed is zero, and the calculation is performed with the smoothed value = input value. Finally, in S10, the input coordinates or smooth coordinates and course/speed information are sent to the display device 4 and displayed.

【0010】以上、この実施例においては、単一のレー
ダの目標追尾において、目標の座標により複雑で精密な
平滑・予測方式と簡易な平滑・予測方式で組合せて追尾
することを特徴とした追尾処理装置を説明した。これは
、ターミナルレーダの特徴である空港周辺は航空機が稠
密な領域は正確な平滑・予測位置を必要とし空港周辺外
は航空機が疎で比較的位置の算出が簡単で良いことを利
用し、空域により平滑・予測位置の計算方法を別に定め
、これらを組合せて用いることにより追尾を行うもので
ある。
As described above, in this embodiment, in target tracking by a single radar, tracking is performed by combining a complex and precise smoothing/prediction method and a simple smoothing/prediction method depending on the coordinates of the target. The processing device has been described. This takes advantage of the fact that the area around the airport, where aircraft are densely populated, requires accurate smoothing and predicted positioning, while the area outside the airport is sparsely populated, making it relatively easy to calculate the position of the airspace. Accordingly, methods for calculating smoothed and predicted positions are determined separately, and tracking is performed by using these methods in combination.

【0011】実施例2.なお、上記実施例では、簡易な
平滑・予測方式としてα・βトラッカーと呼ばれる手法
と精密な平滑・予測方式としてトラック・オリエンテッ
ド・スムージングと呼ばれる手法を例として示したが、
他の手法を用いても同様の効果を奏する。
Example 2. In the above embodiment, a method called α/β tracker is shown as a simple smoothing/prediction method, and a method called track-oriented smoothing is used as a precise smoothing/prediction method.
Similar effects can be achieved using other methods.

【0012】実施例3.また、上記実施例では、航空機
の追尾処理装置の場合を示したが、航空機でなくてもよ
く、船舶、自動車、ロケット、鳥等の移動する物体、す
なわち移動体であればよい。
Example 3. Further, in the above embodiment, a case of an aircraft tracking processing device is shown, but the tracking processing device does not need to be an aircraft, and may be any moving object such as a ship, a car, a rocket, or a bird, that is, a moving object.

【0013】また、上記実施例では、レーダの中心位置
からのターゲットの距離により、平滑・予測方式を分け
る例を示したが、特定エリアに入るかどうかを判定する
方法でも良い。たとえば、南北方向と東西方向で平滑・
予測方式を分けるようにしてもよい。あるいは、高度に
より分けるようにしてもよい。
Further, in the above embodiment, an example was shown in which the smoothing/prediction method is divided depending on the distance of the target from the center position of the radar, but a method of determining whether or not it enters a specific area may also be used. For example, smoothing in the north-south direction and east-west direction
The prediction methods may be separated. Alternatively, it may be divided by altitude.

【0014】実施例4.また、上記実施例においては距
離や方向により予測方式を分ける場合を示したが、移動
体の種別によって分けてもよい。たとえば、速度の速い
ものは精密に予測し、速度の遅いものは簡易に予測する
場合でもよい。また、連絡がとれて相手がわかった移動
体には簡易な方式を用い、連絡がとれない未確認移動体
には精密な予測をするようにしてもよい。
Example 4. Further, in the above embodiment, the prediction method is divided according to distance and direction, but it may be divided according to the type of moving object. For example, it may be possible to accurately predict fast speeds and simply predict slow speeds. Alternatively, a simple method may be used for a mobile object that can be contacted and whose identity is known, and a more precise prediction may be made for an unconfirmed mobile object that cannot be contacted.

【0015】また、上記実施例においては、2種類の予
測手段を切り替える場合を示したが、3種類以上の予測
手段を切り替える場合でもよい。
Further, in the above embodiment, a case is shown in which two types of prediction means are switched, but three or more types of prediction means may be switched.

【0016】また、上記実施例では、性能の一例として
計算時間が異なる場合を示したが、その他の性能が異な
る場合でもかまわない。
Furthermore, in the above embodiment, a case where the calculation times are different is shown as an example of performance, but other performance may be different.

【0017】[0017]

【発明の効果】以上のように、この発明によれば必要な
移動体に対しては精度の高い追尾結果が得られるととも
に、追尾処理装置の演算能力に比して多くの航空機を追
尾できる効果がある。
[Effects of the Invention] As described above, according to the present invention, highly accurate tracking results can be obtained for the necessary moving objects, and the effect is that a large number of aircraft can be tracked compared to the calculation capacity of the tracking processing device. There is.

【図面の簡単な説明】[Brief explanation of drawings]

【図1】この発明による追尾処理装置を用いたシステム
の構成図。
FIG. 1 is a configuration diagram of a system using a tracking processing device according to the present invention.

【図2】この発明による制御フローチャート図。FIG. 2 is a control flowchart diagram according to the present invention.

【図3】簡易な平滑の算式例を示す図。FIG. 3 is a diagram showing an example of a simple smoothing formula.

【図4】精密な平滑の算式例を示す図。FIG. 4 is a diagram showing an example of a precise smoothing formula.

【図5】従来の追尾処理装置を用いたシステムの構成図
FIG. 5 is a configuration diagram of a system using a conventional tracking processing device.

【図6】従来の方式による制御フローチャート図。FIG. 6 is a control flowchart according to a conventional method.

【符号の説明】[Explanation of symbols]

1  レーダセンサ 2  目標検出装置 3  追尾処理装置 3a  第1の予測手段 3b  第2の予測手段 3c  切り替え手段 4  表示装置 1 Radar sensor 2 Target detection device 3 Tracking processing device 3a First prediction means 3b Second prediction means 3c Switching means 4 Display device

Claims (1)

【特許請求の範囲】[Claims] 【請求項1】  以下の要素を有する追尾処理装置(a
)移動体の移動状況から移動体の移動を予測する第1の
予測手段、(b)上記第1の予測手段とは異なる性能を
もって、移動体の移動状況から移動体の移動を予測する
第2の予測手段、(c)移動体の移動を予測するにあた
り、上記第1の予測手段と第2の予測手段を切り替えて
予測する切り替え手段。
Claim 1: A tracking processing device (a
(b) a second prediction means that predicts the movement of the mobile body from the movement situation of the mobile body, with performance different from the first prediction means; (c) a switching means for switching between the first prediction means and the second prediction means when predicting the movement of the moving body;
JP9690491A 1991-04-26 1991-04-26 Tracking processing apparatus Pending JPH04326083A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP9690491A JPH04326083A (en) 1991-04-26 1991-04-26 Tracking processing apparatus

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
JP9690491A JPH04326083A (en) 1991-04-26 1991-04-26 Tracking processing apparatus

Publications (1)

Publication Number Publication Date
JPH04326083A true JPH04326083A (en) 1992-11-16

Family

ID=14177361

Family Applications (1)

Application Number Title Priority Date Filing Date
JP9690491A Pending JPH04326083A (en) 1991-04-26 1991-04-26 Tracking processing apparatus

Country Status (1)

Country Link
JP (1) JPH04326083A (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2003315451A (en) * 2002-04-19 2003-11-06 Mitsubishi Electric Corp Target tracking apparatus and method
US7180443B1 (en) * 2005-03-16 2007-02-20 Lockheed Martin Corporation Reduced state estimator for systems with physically bounded parameters
US8515712B1 (en) 2010-08-26 2013-08-20 Lockheed Martin Corporation Information based optimal reduced state estimator for poorly conditioned estimation problems
CN108398960A (en) * 2018-03-02 2018-08-14 南京航空航天大学 A kind of multiple no-manned plane collaboration target tracking method for improving APF and being combined with segmentation Bezier

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS63196880A (en) * 1987-02-10 1988-08-15 Tokyo Keiki Co Ltd Motion forecasting system
JPH0264480A (en) * 1988-08-31 1990-03-05 Mitsubishi Electric Corp Tracking apparatus
JPH02116778A (en) * 1988-10-27 1990-05-01 Tech Res & Dev Inst Of Japan Def Agency Lock-on apparatus
JPH02116777A (en) * 1988-10-27 1990-05-01 Tech Res & Dev Inst Of Japan Def Agency Lock-on apparatus

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS63196880A (en) * 1987-02-10 1988-08-15 Tokyo Keiki Co Ltd Motion forecasting system
JPH0264480A (en) * 1988-08-31 1990-03-05 Mitsubishi Electric Corp Tracking apparatus
JPH02116778A (en) * 1988-10-27 1990-05-01 Tech Res & Dev Inst Of Japan Def Agency Lock-on apparatus
JPH02116777A (en) * 1988-10-27 1990-05-01 Tech Res & Dev Inst Of Japan Def Agency Lock-on apparatus

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2003315451A (en) * 2002-04-19 2003-11-06 Mitsubishi Electric Corp Target tracking apparatus and method
US7180443B1 (en) * 2005-03-16 2007-02-20 Lockheed Martin Corporation Reduced state estimator for systems with physically bounded parameters
US8515712B1 (en) 2010-08-26 2013-08-20 Lockheed Martin Corporation Information based optimal reduced state estimator for poorly conditioned estimation problems
CN108398960A (en) * 2018-03-02 2018-08-14 南京航空航天大学 A kind of multiple no-manned plane collaboration target tracking method for improving APF and being combined with segmentation Bezier

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