JP2001330663A - Signal processing system for passive sonar - Google Patents
Signal processing system for passive sonarInfo
- Publication number
- JP2001330663A JP2001330663A JP2000151016A JP2000151016A JP2001330663A JP 2001330663 A JP2001330663 A JP 2001330663A JP 2000151016 A JP2000151016 A JP 2000151016A JP 2000151016 A JP2000151016 A JP 2000151016A JP 2001330663 A JP2001330663 A JP 2001330663A
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- dynamic range
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- signal
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Abstract
Description
【０００１】[0001]
【発明の属する技術分野】本発明は、パッシブソーナー
の信号処理システムに係り、特に周波数分析結果を濃淡
表示する、いわゆるＬＯＦＡＲに関するものである。BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a signal processing system for a passive sonar, and more particularly to a so-called LOFAR for displaying the results of frequency analysis in different shades.
【０００２】[0002]
【従来の技術】従来、一般に行われてきたＬＯＦＡＲ分
析では、ＣＲＴなどダイナミックレンジの狭い表示装置
に海中雑音のような広ダイナミックレンジを有する周波
数分析結果を表示するために、周波数分析効果のパワー
スペクトル値のそれぞれに対して近傍の代表値を減じる
ことで、局所的な大小関係を保ちつつ、全体としてのダ
イナミックレンジを抑制していた。2. Description of the Related Art Conventionally, in a LOFAR analysis, a power spectrum of a frequency analysis effect is displayed in order to display a frequency analysis result having a wide dynamic range such as underwater noise on a display device having a narrow dynamic range such as a CRT. By reducing the representative value in the vicinity for each of the values, the overall dynamic range was suppressed while maintaining the local magnitude relation.
【０００３】すなわち、最も単純な第１の方法として
は、近傍の代表値として単純平均値を求めていた。That is, as a simplest first method, a simple average value is obtained as a representative value in the vicinity.
【０００４】また、第２の方法として、画像データの等
化方法（特公平６−４１９７３号公報）が提案されてい
る。As a second method, a method of equalizing image data (Japanese Patent Publication No. 6-41973) has been proposed.
【０００５】この方法は、減じる値として、対象スペク
トルの上下近傍の値をそれぞれ求め、いずれか小さな方
を減じる値として採用するというものであった。According to this method, values in the upper and lower vicinity of a target spectrum are obtained as values to be reduced, and the smaller one is adopted as the value to be reduced.
【０００６】[0006]
【発明が解決しようとする課題】しかしながら、上記し
た従来の第１の方法によると、強信号の近傍では平均値
が大きくなるため、減算結果が小さくなり、画像に表し
たとき、強信号近傍の濃度（輝度）が低下するという問
題点があった。However, according to the above-mentioned first conventional method, the average value becomes large in the vicinity of a strong signal, so that the result of subtraction becomes small. There is a problem that the density (luminance) is reduced.
【０００７】また、従来の第２の方法によっても、２つ
の強信号が近接して存在するときには、それらに挟まれ
た部分はレベルが低下するとともに、演算が複雑で、処
理時間がかかるという問題があった。Also, according to the second conventional method, when two strong signals exist close to each other, the level between the two strong signals decreases, and the operation is complicated and the processing time is increased. was there.
【０００８】本発明は、上記問題点を除去し、海中雑音
の広ダイナミックレンジを抑制するのに、線形予測分析
を用いることによって、従来法の白色化の工程を省くこ
とができ、演算量を大幅に低減可能なパッシブソーナー
の信号処理システムを提供することを目的とする。The present invention eliminates the above problems and suppresses the wide dynamic range of underwater noise by using linear prediction analysis, thereby eliminating the whitening step of the conventional method and reducing the amount of calculation. It is an object of the present invention to provide a passive sonar signal processing system that can be significantly reduced.
【０００９】[0009]
【課題を解決するための手段】本発明は、上記目的を達
成するために、パッシブソーナーの信号処理システムに
おいて、入力信号が入力される線形予測フィルタと、前
記入力信号を前記線形予測フィルタからの出力信号で減
算する減算器と、この減算器の出力信号を入力するＦＦ
Ｔ処理部と、このＦＦＴ処理部の出力信号を入力する対
数処理部と、この対数処理部の出力信号を入力する濃度
（輝度）調整部とを備え、前記線形予測フィルタの残差
信号を周波数分析することを特徴とする。In order to achieve the above object, the present invention provides a passive sonar signal processing system, comprising: a linear prediction filter to which an input signal is input; A subtractor for subtracting the output signal, and an FF for inputting the output signal of the subtractor
A T processing unit, a logarithmic processing unit for inputting an output signal of the FFT processing unit, and a density (luminance) adjusting unit for inputting an output signal of the logarithmic processing unit. It is characterized by analyzing.
【００１０】[0010]
【発明の実施の形態】以下、本発明の実施の形態につい
て図を参照しながら詳細に説明する。Embodiments of the present invention will be described below in detail with reference to the drawings.
【００１１】図１は本発明の実施例を示すパッシブソー
ナーの信号処理システムのブロック図である。FIG. 1 is a block diagram of a passive sonar signal processing system according to an embodiment of the present invention.
【００１２】この図において、１は入力信号Ｓ1 が入力
される線形予測フィルタ、２は入力信号Ｓ1 を入力信号
線形予測フィルタ１からの出力信号Ｓ2 で減算する減算
器、３は減算器２の出力信号Ｓ3 を入力するＦＦＴ処理
部、４はＦＦＴ処理部３の出力信号Ｓ4 を入力する対数
処理部、５は対数処理部４の出力信号Ｓ5 を入力する濃
度（輝度）調整部である。[0012] In this figure, 1 is a linear prediction filter is input signals S 1 is input, 2 is a subtracter for subtracting the input signals S 1 at the output signal S 2 from the input signal a linear predictive filter 1, 3 subtractors FFT processing unit for inputting the second output signal S 3, 4 logarithmic processor for receiving the output signal S 4 of the FFT processing unit 3, 5 concentrations (luminance) adjustment for inputting an output signal S 5 logarithmic processor 4 Department.
【００１３】本発明の構成は、前半の入力信号Ｓ1 に対
する線形予測フィルタ１を計算し、入力信号Ｓ1 から線
形予測フィルタ１を通した値Ｓ2 を減じる部分と、ＦＦ
Ｔ処理部３から後半の画像処理化の部分から構成され
る。The configuration of the present invention calculates a linear prediction filter 1 for the input signal S 1 in the first half, subtracts the value S 2 passed through the linear prediction filter 1 from the input signal S 1 ,
It is composed of the T processing unit 3 and the latter half of image processing.
【００１４】以下、このパッシブソーナーの信号処理シ
ステムの動作について説明する。The operation of the passive sonar signal processing system will be described below.
【００１５】ブロック図前半の、入力信号Ｓ1 に対して
線形予測フィルタ１を求め、入力信号Ｓ1 から線形予測
フィルタ１を通した値を減じる部分は、入力信号Ｓ1 の
スペクトルからスペクトル包絡を除去することとなり、
それにより得られるスペクトルの微細構造は、大域的に
は周波数に対してほぼ平坦となり、局所的な特徴は残し
たまま、海中雑音の広ダイナミックレンジを抑制したも
のとなる。[0015] the first half block diagram obtains a linear predictive filter 1 to the input signals S 1, part to reduce the through the linear prediction filter 1 from the input signals S 1 value, the spectral envelope from the spectrum of the input signals S 1 Will be removed,
The resulting fine structure of the spectrum becomes almost flat with respect to the frequency globally, and suppresses the wide dynamic range of underwater noise while leaving local features.
【００１６】後半のＦＦＴ処理部３以降の部分は、従来
の表示処理とほぼ同様のものであるが、前半部ですで
に、ダイナミックレンジの抑制が成されているため、従
来法で白色化と呼ばれていた、パワースペクトル値のそ
れぞれに対して近傍の代表値を減算する必要がなくなっ
ている。The latter half of the FFT processing section 3 and subsequent parts are almost the same as the conventional display processing. However, since the dynamic range has already been suppressed in the first half, the whitening is performed by the conventional method. It is no longer necessary to subtract a nearby representative value for each of the power spectrum values.
【００１７】上記したように、本発明の実施例によれ
ば、海中雑音の広ダイナミックレンジを抑制するのに、
線形予測分析を用いることによって、従来法の白色化の
工程を省くことができ、演算量を大幅に低減できるとい
う効果がある。As described above, according to the embodiment of the present invention, in order to suppress a wide dynamic range of underwater noise,
By using the linear predictive analysis, the whitening step of the conventional method can be omitted, and the amount of calculation can be greatly reduced.
【００１８】さらに、白色化による、強信号近傍の低濃
度（輝度）化を防ぐことができ、従来法に比べて、海中
雑音をより正確に画像化することが可能となる。Further, it is possible to prevent the density (brightness) from lowering in the vicinity of a strong signal due to whitening, and it is possible to more accurately image underwater noise as compared with the conventional method.
【００１９】なお、本発明は上記実施例に限定されるも
のではなく、本発明の趣旨に基づいて種々の変形が可能
であり、これらを本発明の範囲から排除するものではな
い。It should be noted that the present invention is not limited to the above embodiment, but various modifications are possible based on the spirit of the present invention, and these are not excluded from the scope of the present invention.
【００２０】[0020]
【発明の効果】以上、詳細に説明したように、本発明に
よれば、海中雑音の広ダイナミックレンジを抑制するの
に、線形予測分析を用いることによって、従来法の白色
化の工程を省くことができ、演算量を大幅に低減でき
る。As described above in detail, according to the present invention, the whitening step of the conventional method can be omitted by using the linear prediction analysis to suppress the wide dynamic range of the underwater noise. And the amount of calculation can be greatly reduced.
【００２１】さらに、白色化による、強信号近傍の低濃
度（輝度）化を防ぐことができ、従来法に比べて、海中
雑音をより正確に画像化することができる。Further, it is possible to prevent a decrease in density (brightness) near a strong signal due to whitening, and it is possible to more accurately image underwater noise as compared with the conventional method.
【図１】本発明の実施例を示すパッシブソーナーの信号
処理システムのブロック図である。FIG. 1 is a block diagram of a signal processing system of a passive sonar showing an embodiment of the present invention.
１ 線形予測フィルタ ２ 減算器 ３ ＦＦＴ処理部 ４ 対数処理部 ５ 濃度（輝度）調整部 DESCRIPTION OF SYMBOLS 1 Linear prediction filter 2 Subtractor 3 FFT processing part 4 Logarithmic processing part 5 Density (luminance) adjustment part
───────────────────────────────────────────────────── フロントページの続き Ｆターム(参考） 5J083 AA05 AC29 AC30 AD18 AE07 BE14 BE43 BE50 BE60 EA05 EA09 EA50 EB05 9A001 GG21 KK37 KZ51 ──────────────────────────────────────────────────続 き Continued on the front page F term (reference) 5J083 AA05 AC29 AC30 AD18 AE07 BE14 BE43 BE50 BE60 EA05 EA09 EA50 EB05 9A001 GG21 KK37 KZ51
Claims (1)
ルタと、（ｂ）前記入力信号を前記線形予測フィルタか
らの出力信号で減算する減算器と、（ｃ）該減算器の出
力信号を入力するＦＦＴ処理部と、（ｄ）該ＦＦＴ処理
部の出力信号を入力する対数処理部と、（ｅ）該対数処
理部の出力信号を入力する濃度（輝度）調整部とを備
え、（ｆ）前記線形予測フィルタの残差信号を周波数分
析することを特徴とするパッシブソーナーの信号処理シ
ステム。1. A linear prediction filter to which an input signal is inputted, (b) a subtractor for subtracting the input signal from an output signal from the linear prediction filter, and (c) an output signal of the subtractor (D) a logarithmic processing unit for inputting an output signal of the FFT processing unit, and (e) a density (luminance) adjusting unit for inputting an output signal of the logarithmic processing unit, f) A signal processing system for a passive sonar, which performs frequency analysis on a residual signal of the linear prediction filter.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP2000151016A JP2001330663A (en) | 2000-05-23 | 2000-05-23 | Signal processing system for passive sonar |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP2000151016A JP2001330663A (en) | 2000-05-23 | 2000-05-23 | Signal processing system for passive sonar |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| JP2001330663A true JP2001330663A (en) | 2001-11-30 |
Family
ID=18656638
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2000151016A Withdrawn JP2001330663A (en) | 2000-05-23 | 2000-05-23 | Signal processing system for passive sonar |
Country Status (1)
| Country | Link |
|---|---|
| JP (1) | JP2001330663A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106980125A (en) * | 2016-01-18 | 2017-07-25 | 北京信息科技大学 | The drop amount of calculation deblurring processing method that XFAST is captured in a kind of satellite navigation |
| CN116400337A (en) * | 2023-06-08 | 2023-07-07 | 中国人民解放军国防科技大学 | Ship noise modulation line spectrum extraction and axial frequency estimation method based on line segment detection |
-
2000
- 2000-05-23 JP JP2000151016A patent/JP2001330663A/en not_active Withdrawn
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106980125A (en) * | 2016-01-18 | 2017-07-25 | 北京信息科技大学 | The drop amount of calculation deblurring processing method that XFAST is captured in a kind of satellite navigation |
| CN116400337A (en) * | 2023-06-08 | 2023-07-07 | 中国人民解放军国防科技大学 | Ship noise modulation line spectrum extraction and axial frequency estimation method based on line segment detection |
| CN116400337B (en) * | 2023-06-08 | 2023-08-18 | 中国人民解放军国防科技大学 | Ship noise modulation line spectrum extraction and axial frequency estimation method based on line segment detection |
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Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| A300 | Application deemed to be withdrawn because no request for examination was validly filed |
Free format text: JAPANESE INTERMEDIATE CODE: A300 Effective date: 20070807 |