CN108344987B - Numerical value calculation-based method for multi-subarray synthetic aperture sonar frequency domain function - Google Patents
Numerical value calculation-based method for multi-subarray synthetic aperture sonar frequency domain function Download PDFInfo
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- CN108344987B CN108344987B CN201810008390.5A CN201810008390A CN108344987B CN 108344987 B CN108344987 B CN 108344987B CN 201810008390 A CN201810008390 A CN 201810008390A CN 108344987 B CN108344987 B CN 108344987B
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Abstract
The invention discloses a multi-subarray synthetic aperture sonar frequency domain system function based on a numerical calculation method, which comprises the following steps: s1, calculating a phase dwell point by using a numerical calculation method; s2, calculating a two-dimensional frequency domain system function by using the phase dwell point obtained by the numerical calculation method; s3, calculating an azimuth pulse pressure dwell point for azimuth matched filtering by using a numerical calculation method; s4, calculating the phase of the azimuth matched filter function according to the azimuth pulse pressure dwell point; and S5, calculating the two-dimensional coupling phase according to the two-dimensional frequency domain system function and the azimuth matching filter function. The method effectively solves the problem of approximation of the frequency domain system function of the traditional multi-subarray synthetic aperture sonar, and improves the precision of the multi-subarray synthetic aperture sonar system function and the synthetic aperture imaging quality. The method is beneficial to improving the image quality, and can replace a time domain imaging algorithm to quickly evaluate the performance of other imaging algorithms.
Description
Technical Field
The invention belongs to the field of signal processing, and particularly relates to a numerical calculation-based method for a multi-subarray synthetic aperture sonar frequency domain function.
Background
Considering multi-subarray synthetic aperture sonar imaging as the inverse process of a linear system, the construction of frequency domain system functions is crucial to fast imaging. The multi-subarray synthetic aperture sonar system comprises two single-pass slant-distance histories with root signs, so that an analytic and accurate frequency domain system function is difficult to calculate by an algebraic method. Traditional fast imaging algorithms are based on the approximation of a precise system function, which results in imaging performance limited by the approximation of the approximated system function to the precise system function. And the high-precision system function is not only beneficial to improving the image quality, but also beneficial to rapidly evaluating the performance of other imaging algorithms.
Disclosure of Invention
The invention aims to avoid the approximation problem of frequency domain system functions in the existing method, and provides a numerical calculation-based method for the frequency domain functions of multi-subarray synthetic aperture sonar, which can improve the precision of the frequency domain system functions of the multi-subarray synthetic aperture sonar.
The purpose of the invention is realized by the following technical scheme:
the method for calculating the frequency domain function of the multi-subarray synthetic aperture sonar based on the numerical value comprises the following steps:
s1, calculating a phase dwell point by using a numerical calculation method;
s2, calculating a two-dimensional frequency domain system function by using the phase dwell point obtained by the numerical calculation method;
s3, calculating an azimuth pulse pressure dwell point for azimuth matched filtering by using a numerical calculation method;
s4, calculating the phase of the azimuth matched filter function according to the azimuth pulse pressure dwell point;
and S5, calculating the two-dimensional coupling phase according to the two-dimensional frequency domain system function and the azimuth matching filter function.
As a further improvement, in the step S1, the phase dwell point is calculated by using a numerical calculation methodThe expression is as follows:
wherein the subscript i (i ∈ [1, M ]]) An index representing the elements of the received array,m represents the number of receiving array elements in the receiving array;representing the two-way slant distance process between the specific point target with the distance and the azimuth coordinate of (r,0) and each receiving and transmitting array element in the two-dimensional space;representing a first partial derivative of the two-way slope history with respect to azimuth slow time; diRepresenting the distance between the ith receiving array element and the transmitting array element; r represents a distance; v represents the sonar carrier velocity; t represents the azimuth slow time.Representing the phase dwell points obtained based on numerical calculation methods. f. ofτ、ftRespectively representing a range-direction instantaneous frequency and an azimuth Doppler frequency; f. ofcRepresents a carrier frequency; c represents the speed of underwater sound.
As a further improvement, in said step S2, a two-dimensional frequency domain system function Ψ is calculatedi(fτ,ft) The expression is as follows:
as a further improvement, in the step S3, the position pulse pressure dwell point for the position direction matching filtering is calculated by using a numerical calculation methodThe expression of (2) is:
as a further improvement, in the step S4, the phase of the azimuth matched filter function is calculatedThe expression is as follows:
as a further improvement, in the step S5, a two-dimensional coupling phase is calculatedThe expression is as follows:
the invention provides a numerical calculation-based method for a multi-subarray synthetic aperture sonar frequency domain function, which comprises the following steps of: s1, calculating a phase dwell point by using a numerical calculation method; s2, calculating a two-dimensional frequency domain system function by using the phase dwell point obtained by the numerical calculation method; s3, calculating an azimuth pulse pressure dwell point for azimuth matched filtering by using a numerical calculation method; s4, calculating the phase of the azimuth matched filter function according to the azimuth pulse pressure dwell point; and S5, calculating the two-dimensional coupling phase according to the two-dimensional frequency domain system function and the azimuth matching filter function. The invention effectively overcomes the approximation problem of the frequency domain system function of the traditional multi-subarray synthetic aperture sonar, and improves the precision and the imaging quality of the multi-subarray synthetic aperture sonar system function. The method is beneficial to improving the image quality, and can replace a time domain imaging algorithm to quickly evaluate the performance of other imaging algorithms.
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The invention is further illustrated by means of the attached drawings, but the embodiments in the drawings do not constitute any limitation to the invention, and for a person skilled in the art, other drawings can be obtained on the basis of the following drawings without inventive effort.
Fig. 1 is a schematic calculation flow diagram of a method for calculating frequency domain functions of multi-subarray synthetic aperture sonar based on numerical values.
Figure 2 is a two-dimensional imaging geometry for multi-subarray synthetic aperture sonar.
Fig. 3 is an imaging result of a numerically computed frequency domain system function.
Detailed Description
In order to make those skilled in the art better understand the technical solution of the present invention, the following detailed description of the present invention is provided with reference to the accompanying drawings and specific embodiments, and it is to be noted that the embodiments and features of the embodiments of the present application can be combined with each other without conflict.
As shown in fig. 1, the implementation flow of the method for calculating the frequency domain function of the multi-subarray synthetic aperture sonar based on numerical values in this embodiment mainly includes the following steps: calculating a phase dwell point by using a numerical calculation method; calculating a two-dimensional frequency domain system function by using the phase residence point obtained by the numerical calculation method; calculating an azimuth pulse pressure dwell point for azimuth matched filtering by using a numerical calculation method; calculating the phase of the azimuth matched filter function according to the azimuth pulse pressure dwell point; and calculating the two-dimensional coupling phase according to the two-dimensional frequency domain system function and the azimuth matching filter function. The method effectively solves the problem of approximation of the frequency domain system function of the traditional multi-subarray synthetic aperture sonar, and improves the precision and the imaging quality of the multi-subarray synthetic aperture sonar system function. The method is beneficial to improving the image quality, and can replace a time domain imaging algorithm to quickly evaluate the performance of other imaging algorithms.
Fig. 2 shows a two-dimensional imaging geometry of a multi-subarray synthetic aperture sonar system, without loss of generality, assuming that an ideal point target exists in a two-dimensional space, and the azimuth coordinate of the ideal point target is 0 and the distance coordinate of the ideal point target is r. And in the process that the platform moves forwards at a constant speed v, the transmitting array elements transmit broadband signals irrelevant to the position to the front side view direction at a fixed pulse repetition frequency. According to the two-dimensional imaging geometric relationship, when time t passes, the azimuth coordinate of the transmitting array element is vt, and at the time, the ith receiving array element, the transmitting array element and the two-way slant range history R of the point targeti(t; r) is:
wherein the index i denotes the index of the receiving array element; r represents a distance; t represents the azimuth slow time; diRepresenting the distance between the ith receiving array element and the transmitting array element; c represents the speed of underwater sound.
The derivative of the two-way ramp history with respect to azimuth to slow time t is:
according to the numerical calculation method, the phase dwell point can be obtainedThe calculation formula is as follows:
wherein f isτ、ftRespectively representing a range-direction instantaneous frequency and an azimuth Doppler frequency; f. ofcRepresenting the carrier frequency.
Based on the numerically calculated phase dwell, the two-dimensional frequency domain system function can be expressed as:
based on a numerical calculation method, the position pulse pressure dwell point for the position direction matched filtering can be calculatedThe calculation formula is as follows:
according to the position pulse pressure dwell point, the phase function for the position matching filtering can be obtained as follows:
according to the two-dimensional frequency domain system function and the azimuth matching filter function, the two-dimensional coupling phase between the azimuth and the distance can be obtained, namely:
the frequency domain system function of the multi-subarray synthetic aperture sonar can be obtained after the processing according to the steps, the target can be imaged by using a distance direction blocking imaging algorithm and based on the numerically calculated frequency domain system function, and the imaging result is shown in fig. 3.
Although the present invention has been described with reference to a preferred embodiment, it should be understood that various changes, substitutions and alterations can be made herein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (1)
1. The method for calculating the frequency domain function of the multi-subarray synthetic aperture sonar based on the numerical value is characterized by comprising the following steps of:
s1, calculating a phase dwell point by using a numerical calculation method, wherein the expression is as follows:
whereinRepresenting the derivative of the two-way slope course with respect to the azimuth slow time t at the phase dwell pointTaking the value of (A);representing the double-range slope course between the ith receiving array element, the transmitting array element and the target, wherein the double-range slope course is the phase dwell pointA function of (a); subscript i (i e [1, M ]]) An index representing a received array element; m represents the number of receiving array elements in the receiving array;representing the two-way slant distance course between the specific point target with the distance and the azimuth coordinate (r,0) and each receiving and transmitting array element in the two-dimensional space; r isi(t; r) represents the double-pass slant range process between the ith receiving array element, the transmitting array element and the point target;representing a first partial derivative of the two-way slope history with respect to azimuth slow time; diRepresenting the distance between the ith receiving array element and the transmitting array element; r represents a distance; v represents the sonar carrier velocity; t represents the azimuth slow time;representing phase stagnation points obtained based on a numerical calculation method; f. ofτ、ftRespectively representing a range-direction instantaneous frequency and an azimuth Doppler frequency; f. ofcRepresents a carrier frequency; c represents the acoustic speed of sound;
s2, calculating two-dimensional frequency domain system function by using phase dwell point obtained by numerical calculation methodΨi(fτ,ft) The expression is as follows:
s3, calculating the position pulse pressure dwell point for the position-direction matched filtering by using a numerical calculation methodThe expression of (2) is:
wherein the content of the first and second substances,the derivative of the double-range slope distance process with respect to the azimuth slow time t at the dwell point of the azimuth pulse pressure is shownTaking the value of (1);representing the double-range slope course between the ith receiving array element, the transmitting array element and the target, wherein the double-range slope course is the position pulse pressure dwell pointA function of (a);
s4, calculating the phase of the azimuth matched filter function according to the azimuth pulse pressure dwell pointThe expression is as follows:
s5, calculating two-dimensional coupling phase according to the two-dimensional frequency domain system function and the phase of the azimuth matching filter functionThe expression is as follows:
therein, Ψi(fτ,ft(ii) a r) represents a two-dimensional frequency domain system function calculated based on the phase dwell points obtained by the numerical calculation method, the system function being a function of range-wise instantaneous frequency, azimuth-wise doppler frequency domain and range;indicating the azimuth matched filter function phase calculated based on the azimuth pulse pressure dwell point, which is a function of azimuth doppler frequency and range.
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Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1227681A (en) * | 1996-08-22 | 1999-09-01 | 金桥技术有限公司 | Symbol-matched filter having a low silicon and power requirement |
US8437431B1 (en) * | 2007-09-20 | 2013-05-07 | Gregory Hubert Piesinger | Sequential decoder fast incorrect path elimination method and apparatus for pseudo-orthogonal coding |
CN203965527U (en) * | 2014-07-11 | 2014-11-26 | 沈阳华兴防爆器材有限公司 | A kind of electrostatic admeasuring apparatus |
WO2015126505A2 (en) * | 2013-12-06 | 2015-08-27 | Lynch Jonathan J | Methods and apparatus for reducing noise in a coded aperture radar |
CN105676220A (en) * | 2014-11-21 | 2016-06-15 | 中国航空工业集团公司雷华电子技术研究所 | High-resolution bunching SAR auto-focusing method based on two-dimensional inverse filtering |
CN106772326A (en) * | 2016-12-05 | 2017-05-31 | 中国人民解放军91388部队 | A kind of multiple submatrixes synthetic aperture sonar phase error analysis method |
CN106842210A (en) * | 2016-12-05 | 2017-06-13 | 中国人民解放军91388部队 | A kind of new multiple submatrixes synthetic aperture sonar fast imaging algorithm |
Family Cites Families (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
TWI683121B (en) * | 2014-10-07 | 2020-01-21 | 美商蝴蝶網路公司 | Ultrasound signal processing circuitry and related apparatus and methods |
CN107219512B (en) * | 2017-03-29 | 2020-05-22 | 北京大学 | Sound source positioning method based on sound transfer function |
-
2018
- 2018-01-04 CN CN201810008390.5A patent/CN108344987B/en active Active
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1227681A (en) * | 1996-08-22 | 1999-09-01 | 金桥技术有限公司 | Symbol-matched filter having a low silicon and power requirement |
US8437431B1 (en) * | 2007-09-20 | 2013-05-07 | Gregory Hubert Piesinger | Sequential decoder fast incorrect path elimination method and apparatus for pseudo-orthogonal coding |
WO2015126505A2 (en) * | 2013-12-06 | 2015-08-27 | Lynch Jonathan J | Methods and apparatus for reducing noise in a coded aperture radar |
CN203965527U (en) * | 2014-07-11 | 2014-11-26 | 沈阳华兴防爆器材有限公司 | A kind of electrostatic admeasuring apparatus |
CN105676220A (en) * | 2014-11-21 | 2016-06-15 | 中国航空工业集团公司雷华电子技术研究所 | High-resolution bunching SAR auto-focusing method based on two-dimensional inverse filtering |
CN106772326A (en) * | 2016-12-05 | 2017-05-31 | 中国人民解放军91388部队 | A kind of multiple submatrixes synthetic aperture sonar phase error analysis method |
CN106842210A (en) * | 2016-12-05 | 2017-06-13 | 中国人民解放军91388部队 | A kind of new multiple submatrixes synthetic aperture sonar fast imaging algorithm |
Non-Patent Citations (4)
Title |
---|
"Air Interface for Fixed Broadband";Standard;《IEEE》;20031231;全文 * |
"一种多子阵合成孔径声纳成像算法研究";殷钊 等;《舰船电子工程》;20161231;第36卷(第12期);第157-160页 * |
"基元间隔不等线列阵指向性仿真研究";杨博 等;《声学技术》;20171231;第36卷(第5期);第323-324页 * |
"弹载前斜视成像技术研究";王阳阳 等;《工程科技Ⅱ辑》;20150228;C032-72 * |
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