JPS63250578A - Target identification radar equipment - Google Patents
Target identification radar equipmentInfo
- Publication number
- JPS63250578A JPS63250578A JP62085111A JP8511187A JPS63250578A JP S63250578 A JPS63250578 A JP S63250578A JP 62085111 A JP62085111 A JP 62085111A JP 8511187 A JP8511187 A JP 8511187A JP S63250578 A JPS63250578 A JP S63250578A
- Authority
- JP
- Japan
- Prior art keywords
- target
- doppler spectrum
- target body
- fluctuations
- model
- 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.)
- Granted
Links
- 238000001228 spectrum Methods 0.000 claims abstract description 27
- 230000033001 locomotion Effects 0.000 claims description 32
- 230000010355 oscillation Effects 0.000 claims description 4
- 238000001514 detection method Methods 0.000 claims 1
- 238000013019 agitation Methods 0.000 description 5
- 238000010586 diagram Methods 0.000 description 4
- 230000000694 effects Effects 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- PCHJSUWPFVWCPO-UHFFFAOYSA-N gold Chemical compound [Au] PCHJSUWPFVWCPO-UHFFFAOYSA-N 0.000 description 1
- 239000010931 gold Substances 0.000 description 1
- 229910052737 gold Inorganic materials 0.000 description 1
- 230000003595 spectral effect Effects 0.000 description 1
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
- Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
Landscapes
- Radar Systems Or Details Thereof (AREA)
Abstract
Description
【発明の詳細な説明】
〔産業上の利用分野〕
この発明は例えば目標体の特徴を検出することにより目
標金撤別することができる目標識別レーダ装置に関する
ものである。DETAILED DESCRIPTION OF THE INVENTION [Industrial Application Field] The present invention relates to a target identification radar device capable of eliminat- ing gold targets by detecting, for example, the characteristics of the target object.
第２図は従来のレーダ装置を示す図であシ、（１）は海
洋波浪、（２１は海洋波浪（１）上の目標体（船舶等）
。Figure 2 is a diagram showing a conventional radar device, in which (1) is an ocean wave, (21 is a target object (ship, etc.) on the ocean wave (1)).
.
（３）は特定方向に電磁波ビームを放射し、目標体（２
）からの反射波を受信するアンテナ、（４）はアンテナ
（３）へ送信波を供給し、受信波をビデオ信号に変換す
る送受信機、（５）は送受信機（４）から出力されるア
ナログビデオ信号をディジタル信号に変換するＡ／Ｄ変
換器、（６）はＡ／Ｄ変換器（５）から出力されるディ
ジタル信号から目標体（２）までの距離を検出する距離
検出器である。(3) emits an electromagnetic wave beam in a specific direction, and
), (4) is a transceiver that supplies transmitted waves to antenna (3) and converts the received waves into video signals, and (5) is an analog output from transceiver (4). The A/D converter (6) converts a video signal into a digital signal, and is a distance detector that detects the distance to the target object (2) from the digital signal output from the A/D converter (5).
従来のレーダ装置は上記のように構成され０例えば送受
信機（４）からの送信波は、アンテナ（３）を介して海
洋波浪（１）上に照射され、ある目標体（２１からの反
射波をアンテナ（３１で受信し、送受信機（４）で受倍
波をビデオ信号に変換し、Ａ／Ｄ変換器（５）でアナロ
グビデ第１．；号をディジタル信号に変換し、距離検出
器（６）でディジタル信号の振幅の大きさから目標体（
２１ヲ探知い送信波を送信した時間から目標体（２）か
らの反射波を受信した時間までの時間遅れから、レーダ
装置から目標体（２）までの距離を検出している。A conventional radar device is configured as described above. For example, a transmitted wave from a transceiver (4) is irradiated onto an ocean wave (1) via an antenna (3), and a reflected wave from a certain target object (21) is emitted from a transceiver (4). is received by the antenna (31), the transceiver (4) converts the harmonics into a video signal, the A/D converter (5) converts the analog video signal into a digital signal, and the distance detector In (6), the target object (
21) The distance from the radar device to the target object (2) is detected from the time delay between the time when the transmitted wave was transmitted and the time when the reflected wave from the target object (2) was received.
従来のレーダ装置では、目標体を探知し、距離を検出す
ることはできたが、距離分解能や角度分解能が目標体の
大きさに対して大きい場合が多く。Conventional radar devices have been able to detect targets and detect their distances, but their distance resolution and angular resolution are often large compared to the size of the target.
目標体が何であるかを識別することが不可能であるとい
う問題点があった。There was a problem in that it was impossible to identify what the target object was.
この発明は、かかる問題点を解決するためになされたも
ので、目標体の動揺のドツプラースペクトルと目標体の
構造を表す特徴を検出し、その目標体の構造を表す特徴
から目標体モデルを選択し。The present invention was made to solve this problem by detecting the Doppler spectrum of the movement of the target body and the features representing the structure of the target body, and creating a model of the target body from the features representing the structure of the target body. choose.
目標体の動揺のドツプラースペクトルと目標体モデルの
構造を表す特徴からモデルの模擬した動揺のドツプラー
スペクトルを同定することにょシ。The purpose is to identify the Doppler spectrum of the simulated motion of the model from the Doppler spectrum of the motion of the target body and the features representing the structure of the target body model.
目標を精度良く識別することができる目標識別レーダ装
管を得ることを目的とする。An object of the present invention is to obtain a target identification radar equipment that can accurately identify a target.
この発明に係わる目標識別レーダ装置は、目標体の動揺
によって生じるドツプラースペクトル力ら目標体の動揺
の特徴であるドツプラー周波数を検出する目標動揺検出
器と、海洋波浪の特徴を入力する波浪特徴入力器と、こ
のドツプラー周波数と海洋波浪の特徴から目標体の構造
を表す特徴を検出する目標特徴検出器と、目標体モデル
とその構造を表す特徴をあらかじめ登録した目標特徴デ
ータペース管理器と、目標体モデルの構造を表す特徴と
海洋波浪の周期と振幅からモデルの動揺のドツプラース
ペクトルを模擬する目標動揺模擬器と、目標体の動揺の
ドツプラースペクトルとモデルの模擬した動揺のドツプ
ラースペクトルトノ相関処理によシ目標を同定する目標
識別器を設けたものである。The target identification radar device according to the present invention includes a target agitation detector that detects a Doppler frequency, which is a characteristic of the agitation of the target object, from a Doppler spectral force generated by the agitation of the target object, and a wave feature input that inputs the characteristics of ocean waves. a target feature detector that detects features representing the structure of the target body from the Doppler frequency and ocean wave characteristics; a target feature data pace manager in which features representing the target body model and its structure are registered in advance; A target motion simulator that simulates the Doppler spectrum of the model's motion based on features representing the structure of the body model and the period and amplitude of ocean waves; This system is equipped with a target discriminator that identifies targets through correlation processing.
この発明においては、特定の周期と振幅を持つた海洋波
浪によって生じる目標体の動揺は目標体の構造の特徴に
よって固有の動揺をすることから。In this invention, the movement of the target body caused by ocean waves having a specific period and amplitude is unique due to the characteristics of the structure of the target body.
レーダによって動揺している目標体のドツプラースペク
トルからドツプラー周波数を検出し、目標体の動揺のド
ツプラー周波数と海洋波浪の周期と振幅から目標体の構
造を表す特徴を検出し、検出された目標体の構造を表す
特徴に近い構造を表す特徴を持った目標体モデルをあら
かじめ登録されたデータベース管理器から検索し１．そ
の選択された目標体モデルの構造を表す特徴と海洋波浪
の周期と振因から目標体モデルの動揺のドツプラースペ
クトルを模擬し、目標体の動揺のドツプラースペクトル
とモデルの模擬した動揺のドツプラースペクトルとの相
関処理によル同定し、目標をよシ精度良く識別すること
ができる。The Doppler frequency is detected from the Doppler spectrum of the moving target object by the radar, and the characteristics representing the structure of the target object are detected from the Doppler frequency of the moving target object and the period and amplitude of ocean waves. 1. Search for a target model with features representing a structure similar to the features representing the structure from a pre-registered database manager. The Doppler spectrum of the motion of the target body model is simulated based on the characteristics representing the structure of the selected target body model and the period and vibration of ocean waves, and the Doppler spectrum of the motion of the target body and the dots of the simulated motion of the model are The target can be identified with high accuracy by correlation processing with the puller spectrum.
第１図はこの発明の一実施例を示す図であシ。 FIG. 1 is a diagram showing an embodiment of the present invention.
（１）は海洋波浪、（２）は海洋波浪（１１上の目標体
（船舶等）、＋３＋は特定方向に電磁波ビームを放射し
、目標体（２）からの反射波を受君するアンテナ、（４
）はアンテナ（３）へ送信波を供給し、受信波をビデオ
信号に変換する送受信機、（５）は送受信機（４１から
出力されるアナログビデオ信号をディジタル信号に変換
するＡ／Ｄ変換器、（７）はＡ ／ Ｄ変換器（５）か
ら出力されるディジタルビデオ信号を高速に周波数分析
するＦＦＴ演算器、（８）はＦＦ’Ｊ’演算器（７）で
検出される目標体からの反射波に含まれる目標体の動揺
のドツプラースペクトルから動揺している目標体の動揺
のドツプラー周波数（特徴）を検出する目標動揺検出器
、（９）は観測された海洋波浪の機幅や周期といった特
徴を入力する波浪特徴入力器、 ＱＱはこの波浪特徴入
力器（９）から出方される海洋波浪の振幅や周期といっ
た特徴と上記目標動揺検出器（８）から出力される動揺
している目標体の動揺ドツプラー周波数（特徴）から目
標体の構造を表す特徴を検出する目標特徴検出器、（ｌ
υはこの目標特徴検出器−で検出された目標体の構造を
表す特徴からあらかじめ登録されている目標体モデルを
検索する目標特徴データベース管理器、 ａ’ａはこの
目標特徴データペース管理器Ｑｌ）で選択された目標体
の構造を表す特徴から目標体モデルの動揺のドツプラー
スペクトルを模擬する目標動揺模擬器、α３はこの目標
動揺模擬器α２で模擬したモデルの動揺のドツプラース
ペクトルとＦＦＴ演算器（７）で検出された目標体の動
揺のドツプラースペクトルとの相関処理により同定を行
う目標識別器により目標を識別することを示している。(1) is ocean waves, (2) is ocean waves (target object (ship, etc.) on 11, +3+ is an antenna that emits an electromagnetic wave beam in a specific direction and receives reflected waves from target object (2), (4
) is a transceiver that supplies transmission waves to the antenna (3) and converts the received waves into video signals, and (5) is an A/D converter that converts the analog video signal output from the transceiver (41) into a digital signal. , (7) is an FFT calculator that performs high-speed frequency analysis of the digital video signal output from the A/D converter (5), and (8) is an FF'J' calculator that detects the target object detected by the FF'J' calculator (7). (9) is a target motion detector that detects the Doppler frequency (characteristic) of the motion of a moving target body from the Doppler spectrum of the motion of the target body contained in the reflected waves of the target body. A wave characteristic input device, QQ, inputs characteristics such as period, and QQ is a wave characteristic input device that inputs characteristics such as the amplitude and period of ocean waves outputted from this wave characteristic input device (9) and agitation outputted from the target agitation detector (8). A target feature detector, (l
υ is a target feature database manager that searches for a target body model registered in advance from the features representing the structure of the target body detected by this target feature detector, and a'a is this target feature database pace manager Ql) A target motion simulator that simulates the Doppler spectrum of the motion of the target body model from the features representing the structure of the target body selected in . The target is identified by a target discriminator that performs identification through correlation processing with the Doppler spectrum of the motion of the target body detected by the device (7).
上記のように構成された目標識別レーダ装置においては
、海洋波浪（１）上にある目標体（２）からの反射波を
アンテナ（３）で受信し、送受信機（４）で受信波をビ
デオ信号に変換し、Ａ／Ｄ変換器（５）でアナログビデ
オ信号をディジタル信号に変換し、ＦＦＴ演算器（７）
で次式のごとく、ディジタルビデオ信号ｈ ｔｏを高速
に周波数分析することによシドップラースベクトルＳ
［ｆｌを検出し。In the target identification radar device configured as described above, an antenna (3) receives reflected waves from a target object (2) on ocean waves (1), and a transceiver (4) converts the received waves into a video signal. The A/D converter (5) converts the analog video signal into a digital signal, and the FFT calculator (7) converts the analog video signal into a digital signal.
By performing high-speed frequency analysis on the digital video signal hto, the Sid-Doppler vector S is calculated as shown in the following equation.
[Detect fl.
Ｓ １ｆｌ＝ Ｊｈ ｉｔ） ・ｅｘｐ（−ｊ ２πｒ
ｔ） ｄｔ ｍ目標動揺検出器（８）でドツプラ
ースペクトル５ｌｆｌからドツプラー周波ｆｉｆｄを検
出し、波浪特徴入力器（９）で海洋波浪の振幅ＡＶや周
期Ｔｗを入力する。S 1fl= Jh it) ・exp(-j 2πr
t) dt m The target oscillation detector (8) detects the Doppler frequency fifd from the Doppler spectrum 5lfl, and the wave characteristic input device (9) inputs the amplitude AV and period Tw of ocean waves.
海洋波浪による目標体たとえば船舶の動揺のドツプラー
周波数ｆｄは、船舶の型（長さ９幅、形状等）によって
異なり、船舶の型を表す特徴係数をｋとおくと、船舶の
動揺のドツプラー周波数ｆｄは、海洋波浪の振幅Ａｗ、
周期Ｔｗ、特徴係数にの関数として、−
ｆｄ＝Ｆ （Ｔｗ、Ａｗ、ｋ ） （
イ）と表せることが知られている。よってｆｄ、Ｔｗ。The Doppler frequency fd of the motion of a target object, such as a ship, caused by ocean waves varies depending on the type of ship (length, width, shape, etc.).If the characteristic coefficient representing the type of ship is k, then the Doppler frequency fd of the movement of the ship is is the amplitude of ocean waves Aw,
As a function of the period Tw and the feature coefficients, − fd=F (Tw, Aw, k) (
It is known that it can be expressed as (b). Therefore fd, Tw.
脂が既知であるから、目標特徴検出器αＱで弐ｄ）を演
算することにより、船舶の型を表す特徴係数ｋが得られ
る。Since the weight is known, the characteristic coefficient k representing the type of ship can be obtained by calculating 2d) using the target characteristic detector αQ.
ｋ＝Ｆ−１（Ｔｗ、Ａｗ、ｆｄ）
＠特徴係数には船舶の型（長さ１幅、形状等）によって
一意的に決まるものであるから、船舶の型のモデルとそ
れらの特徴係数の値をあらかじめ目標特徴データベース
管理器（１１）に登録しておき、得られた特徴係数にの
値に一致するものを目標特徴データベース管理器αＤか
ら検索することにより目標を識別することができる。し
かい海洋波浪の振幅１周期は常に一定でなく２時間によ
シ変化していることが多いため、船舶の動揺のドツプラ
ースペクトルから、ドツプラー周波数や特徴係数を正確
に検出することは難しい。船舶の動揺のドツプラースペ
クトルは、海洋波浪の振幅ＡｗｌｔＬ 周期Ｔｗｆｔ
）と特徴係数ｋから次の関係式で表せる。k=F-1(Tw, Aw, fd)
@Since the characteristic coefficients are uniquely determined by the type of ship (length, width, shape, etc.), the model of the ship type and the values of those characteristic coefficients are stored in advance in the target characteristic database manager (11). The target can be identified by registering the target characteristic coefficient and searching the target characteristic database manager αD for a value matching the obtained characteristic coefficient. However, since one cycle of the amplitude of ocean waves is not always constant and often changes every two hours, it is difficult to accurately detect the Doppler frequency and characteristic coefficients from the Doppler spectrum of ship motion. The Doppler spectrum of the ship's motion is determined by the amplitude AwltL of ocean waves and the period Twft.
) and the characteristic coefficient k, it can be expressed by the following relational expression.
ｓｔｒ＋＝ ５Ｈ（Ｔｗ（ｔｌＬ Ａｙ（ｔＬ ｋ）−
ｅｘｐ（−ｊ２πｒｔ）ｄｔ 国よって、得られた特
徴係数にの値に近い特徴係数をもつ船舶の型のモデルを
いくつか目標特徴データベース管理器ａｌｌから選択し
、その登録されてる特徴係数に′と時間的に変化をする
海洋波浪の振幅Ａｗｌｔ１．周期Ｔｗｌｔｌ ′ｆｔ用
いて、目標動揺模擬器ａ’ａで式に）を演算することに
より、船舶モデルの動揺のドツプラースペクトルＳ ’
ｆ ｆｌを模擬し、目標識別器α３で目標体の動揺のド
ツプラースペクトルＳ＋ｆ）トモデルの模擬した動揺の
ドツプラースペクトルＳ’＋ｆｌとの相関処理により同
定を行い、いくつかの船舶の型から相関の大きいものを
選択することによシ、よシ精度良く目標を識別すること
が可能となる。str+=5H(Tw(tlL Ay(tL k)−
exp(-j2πrt)dt Depending on the country, select some ship type models from the target feature database manager all that have feature coefficients close to the obtained feature coefficients, and set the registered feature coefficients to ''. The amplitude of ocean waves that changes over time Awlt1. Using the period Twltl ′ft, the Doppler spectrum S′ of the movement of the ship model is calculated by calculating the formula with the target movement simulator a′a.
ffl is simulated, and the target discriminator α3 performs identification by correlation processing with the Doppler spectrum of the motion of the target body S+f) and the Doppler spectrum of the motion simulated by the target model S'+fl. By selecting a large value, it becomes possible to identify the target with high accuracy.
この発明は以上説明したとおシ、目標体の動揺から目標
体の特徴を検出し、目標体モデルの動揺を模擬し、同定
することによ多目標を精度良く識別することができると
いう効果がある。As described above, the present invention has the effect that multiple targets can be identified with high accuracy by detecting the characteristics of the target body from the motion of the target body, simulating and identifying the motion of the target body model. .
第１図はこの発明の一実施例を示す図、第２図は従来の
レーダ装置を示す図である。
図において、（１）は海洋波浪、（２）は目標体（船舶
等）、＋３１はアンテナ、（４）は送受信機、（５）は
Ａ／Ｄ変換器、（６）は距離検出器、（７）はＦＦＴ演
算器、（８）は目標動揺検出器、（９）は波浪特徴入力
器、αｑは目標特徴検出器、αυは目標特徴データベー
ス管理器。
Ｏ３は目標動揺模擬器、 （１３は目標識別器である。
なお１図中同一あるいは相当部分には同一符号を付して
示しである〇FIG. 1 is a diagram showing an embodiment of the present invention, and FIG. 2 is a diagram showing a conventional radar device. In the figure, (1) is ocean waves, (2) is a target object (ship, etc.), +31 is an antenna, (4) is a transceiver, (5) is an A/D converter, (6) is a distance detector, (7) is an FFT calculator, (8) is a target oscillation detector, (9) is a wave feature input device, αq is a target feature detector, and αυ is a target feature database manager. O3 is a target oscillation simulator, (13 is a target discriminator. In addition, the same or equivalent parts in Figure 1 are indicated with the same symbols.
Claims (1)
反射波を受信するアンテナと、その受信信号に含まれる
目標体の動揺によつて生じるドップラースペクトルから
目標体の動揺の特徴であるドップラー周波数を検出する
目標動揺検出装置と、海洋波浪の周期、振幅といつた特
徴を入力する波浪特徴入力装置と、検出された目標体の
動揺の特徴と海洋波浪の特徴から目標体の特徴を検出す
る目標特徴検出装置と、目標体モデルの特徴を登録した
目標特徴データベース管理装置と、目標体モデルの動揺
のドップラースペクトルを模擬する目標動揺模擬装置と
、目標体の動揺のドップラースペクトルとモデルの模擬
した動揺のドップラースペクトルから目標を同定する目
標識別装置を設けたことにより目標を識別することがで
きる目標識別レーダ装置。An antenna that emits an electromagnetic wave beam into space in a specific direction and receives reflected waves from the target object, and the Doppler frequency that is characteristic of the target object's movement from the Doppler spectrum generated by the movement of the target object included in the received signal. a wave characteristic input device that inputs characteristics such as period and amplitude of ocean waves; and a wave characteristic input device that detects characteristics of the target object from the characteristics of the detected movement of the target object and the characteristics of the ocean waves. a target feature detection device, a target feature database management device that registers the features of the target body model, a target motion simulator that simulates the Doppler spectrum of the motion of the target body model, and a target motion simulator that simulates the Doppler spectrum of the motion of the target body and the model. A target identification radar device that can identify a target by providing a target identification device that identifies the target from the Doppler spectrum of oscillation.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP62085111A JPH0641974B2 (en) | 1987-04-07 | 1987-04-07 | Target identification radar device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP62085111A JPH0641974B2 (en) | 1987-04-07 | 1987-04-07 | Target identification radar device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| JPS63250578A true JPS63250578A (en) | 1988-10-18 |
| JPH0641974B2 JPH0641974B2 (en) | 1994-06-01 |
Family
ID=13849514
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP62085111A Expired - Lifetime JPH0641974B2 (en) | 1987-04-07 | 1987-04-07 | Target identification radar device |
Country Status (1)
| Country | Link |
|---|---|
| JP (1) | JPH0641974B2 (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2010185812A (en) * | 2009-02-13 | 2010-08-26 | Toto Ltd | Human body detecting device and urinal equipped with the same |
| JP2014083148A (en) * | 2012-10-22 | 2014-05-12 | Oki Electric Ind Co Ltd | Feature amount calculation device and program |
-
1987
- 1987-04-07 JP JP62085111A patent/JPH0641974B2/en not_active Expired - Lifetime
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2010185812A (en) * | 2009-02-13 | 2010-08-26 | Toto Ltd | Human body detecting device and urinal equipped with the same |
| JP2014083148A (en) * | 2012-10-22 | 2014-05-12 | Oki Electric Ind Co Ltd | Feature amount calculation device and program |
Also Published As
| Publication number | Publication date |
|---|---|
| JPH0641974B2 (en) | 1994-06-01 |
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