JPH06109472A - Estimate calculation processor - Google Patents

Abstract

PURPOSE:To calculate the detection distance in a sea bottom reverberation control area at every depth by one calculation in a estimate calculation processor for the estimate calculation of the detection distance of a sonar device. CONSTITUTION:A transmission loss and incident supplement calculation part 2 calculates transmission losses and incident supplements at every sampling points of a definite distance intervals along the sound rays set at every dips of a definite interval from the transmitter of a sonar device on the basis of the sonar various data, environmental conditions and calculation range inputted in an input part 1 and a transmission loss average calculation part 3 calculates the average value of transmission losses in respective lattice units obtained when an indicated sea area is divided in a horizontal direction and a depth direction and an incident dip average calculation part 4 calculates the average value of incident supplements in respective lattice units. A signal excess calculation part 5 calculates signal excess values in respective lattice units on the basis of the data inputted in an input part 1, the average value of transmission losses and the sea bottom scattering intensity value in a sea bottom scattering intensity register part 6 corresponding to the average value of incident supplements and a detection distance calculation part 7 calculates the detection distance in the sea bottom reverberation control area at every lattice depths on the basis of the calculated signal excess values of every lattices to display the same on a display part 8.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a prediction calculation processor for predicting and calculating a detection distance of a sonar device for detecting a target, and more particularly to a prediction calculation processor for a seabed reverberation control area.

[0002]

2. Description of the Related Art Conventionally, in this type of prediction calculation processor, a configuration as shown in FIG. 6 is adopted to calculate a detection distance in a seafloor reverberation control area for each one seafloor depth. Hereinafter, a conventional prediction calculation processor will be described with reference to FIG.

In FIG. 6, an input unit 11 is provided with an input device such as a keyboard (not shown), sonar specifications information such as transmission level, frequency, sound source depth, and beam width, and environmental conditions such as water temperature distribution data with respect to water depth. , In addition to the information on the calculation range for horizontal distance and water depth, enter the seafloor depth and target depth to be calculated this time.

Next, the propagation loss calculating unit 12 calculates the propagation loss at every sampling point at a constant distance along the sound ray set for each depression angle at a constant interval from the transmitter of the sonar device. Then, at the sampling point where the sound ray depth reaches the seabed depth, the incident supplementary angle calculation unit 13 calculates the incident supplementary angle, which is the angle formed by the acoustic ray and the horizontal plane.

After performing the above-described processing for all sound rays, the propagation loss average calculation unit 14 divides the designated sea area corresponding to the calculation range into, for example, m horizontal parts and n depth parts.
For each m × n grid obtained by division, the average value of the above-mentioned propagation loss calculated at the sampling points of the sound rays included in each grid is calculated.

Further, the incident supplementary angle average calculation unit 15 calculates the average value of the incident supplementary angles calculated at the sampling points of the sound rays included in each lattice of the depth corresponding to the current seabed depth.

Next, the signal excess calculating unit 16 includes the sonar parameter information input by the input unit 11, the propagation loss average value of each grating calculated by the propagation loss average calculating unit 14, and the incident supplementary angle average calculating unit. Corresponding to the average value of the incident angle of incidence at this seafloor depth calculated in 15, the seabed scattering intensity registration unit 1
Using the seabed scattering intensity data (seabed reverberation level data) registered in No. 7, the signal excess value of the seabed reverberation dominated region in each grid having a depth corresponding to the current seabed depth is calculated.

Then, the detection distance calculation unit 18 calculates the detection distance based on the calculated signal excess value of each lattice, and the display unit 19 displays the sound source depth Zs, the target depth Zt, and the target depth Zt, as shown in FIG. Seafloor depth Zb (above is input unit 1
The detection distance Rb calculated under the condition is displayed together with the value input at 1).

As described above, the detection distance in the seafloor reverberation control region is calculated for a certain seafloor depth. By executing this calculation for each required seafloor depth, the seafloor reverberation control for each seafloor depth is performed. I was seeking the detection distance in the area.

[0010]

As described above, in the conventional prediction calculation processor, the detection distance in the seafloor reverberation control area is calculated while the seafloor depth is fixed. Therefore, in the sea area where the seafloor depth continuously changes, , I had to repeat the calculation many times. That is, in order to obtain the detection distance for N seafloor depths, it was necessary to repeat the calculation described in FIG. 6 N times.

The present invention has solved such a conventional problem, and an object thereof is to enable calculation of a detection distance in a seafloor reverberation control area for each depth by one calculation.

[0012]

SUMMARY OF THE INVENTION In order to achieve the above object, the present invention provides a prediction calculation processor for predicting and calculating a detection distance of a sonar device for detecting an underwater target, sonar specification information, environmental conditions, An input section for inputting the calculation range,
A propagation loss / incidence supplementary angle calculation unit that calculates a propagation loss and an incident supplementary angle at each sampling point at a constant distance along a sound ray set for each depression angle from the transmitter of the sonar device, and the propagation loss.・ A propagation loss average calculation unit that inputs the propagation loss calculated by the incident supplementary angle calculation unit and calculates the average value of the propagation loss for each grid unit obtained when the designated sea area is divided into the horizontal direction and the depth direction. , An incident supplementary angle average calculation unit that inputs the incident supplementary angle calculated by the propagation loss / incident supplementary angle calculation unit and calculates an average value of the incident supplementary angle for each of the grating units, and sea bottom scattering for each incident supplementary angle The sea bottom scattering intensity registration unit that registered the intensity value, the information input by the input unit, the average value of the propagation loss calculated by the propagation loss average calculation unit, and the incident supplemental angle average calculation unit Corresponding to the average value of the incident angle of incidence, Based on the seabed scattering intensity value registered in the section, the signal excess calculating unit for calculating the signal excess value in each of the lattice units, and the signal excess value of each lattice calculated by the signal excess calculating unit, the lattice A detection distance calculation unit that calculates a detection distance in the seafloor reverberation control area for each depth, and a display unit that displays the detection distance for each grid depth calculated by the detection distance calculation unit are provided.

The detection distance calculation unit obtains a detection range based on the signal excess value of each lattice calculated by the signal excess calculation unit, and the detection range obtained with the depth and the horizontal distance as axes. Is configured to be displayed on the display unit.

[0014]

In the prediction calculation processor of the present invention, the input section inputs sonar specification information, environmental conditions, and calculation range,
According to this input information, the propagation loss / incident compensation angle calculation unit follows the input information from the transmitter of the sonar device along the sound ray set for each depression angle at a certain distance, and at each sampling point at a certain distance, the propagation loss and incident compensation angle. Then, the propagation loss average calculation unit inputs the propagation loss calculated by the propagation loss / incident angle of incidence calculation unit into each grid unit obtained when the designated sea area is divided into the horizontal direction and the depth direction, The average value of the propagation loss is calculated, and the incident supplementary angle average calculation unit inputs the incident supplementary angle calculated by the propagation loss / incident complementary angle calculation unit, and calculates the average value of the incident supplementary angle for each grating. Then, the signal excess calculation unit, the information input by the input unit, the average value of the propagation loss calculated by the propagation loss average calculation unit, and the average value of the incident supplementary angle calculated by the incident supplemental angle average calculation unit. Correspondingly, based on the seabed scattering intensity value registered in the seabed scattering intensity registration unit, the signal excess value is calculated for each lattice unit, and the detection distance calculation unit calculates the signal excess of each lattice calculated by the signal excess calculation unit. Based on the value, the detection distance in the seabed reverberation control area is calculated for each grid depth and displayed on the display unit. Also,
The detection distance calculation unit obtains a detectable range based on the signal excess value of each lattice calculated by the signal excess calculation unit, and displays a graph showing the detectable range on the display unit with the depth and horizontal distance as axes. indicate.

[0015]

Embodiments of the present invention will now be described in detail with reference to the drawings.

Referring to FIG. 1, one embodiment of the prediction calculation processor of the present invention is sonar specification information such as transmission level, frequency, sound source depth and beam width of a sonar device to be predicted, and water temperature with respect to water depth. Input unit 1 to input environmental conditions such as distribution, horizontal distance and calculation range for water depth from the outside
And the propagation loss and incident supplementary angle are calculated from the transmitter of the sonar device to be inspected at each sampling point at regular intervals along the sound ray set for each depression angle at regular intervals. The unit 2 and the propagation loss average calculation unit 3 that calculates the average value of the propagation loss for each grid unit obtained when the designated sea area is divided in the horizontal direction and the depth direction into a grid shape. Incident supplemental angle average calculation unit 4 for calculating the average value of the angles, seabed scattering intensity registration unit 6 for registering the incident supplemental angle and the seafloor scattering intensity value for each seafloor quality, and the signal excess of the seafloor reverberation control region for each lattice The signal excess calculating unit 5 for calculating the (signal surplus level) value, the detection distance of the seafloor reverberation control area for each grid depth, and the detection range of the seafloor reverberation control area with the horizontal distance and depth as axes. A detection distance calculating unit 7 for creating a phased graphic, a display unit 8 for displaying the calculated detection range and the created graph, and a table T1~T5 to hold the result of being processed.

The prediction calculation processor of the present embodiment configured as described above operates as follows.

First, the input unit 1 is operated from a keyboard (not shown) or the like, sonar specifications information such as the transmission level, frequency, sound source depth, and beam width of the sonar device to be inspected, environmental conditions such as water temperature distribution with respect to water depth, horizontal Enter the calculation range for distance and water depth.

Next, the propagation loss / incident incident angle calculation unit 2 divides the designated sea area corresponding to the calculation range for the horizontal distance and the water depth input by the input unit 1 into, for example, 64 in the horizontal direction and 32 in the depth direction. And a total of 32 × 64 grids Ki, j
Assuming (i = 1 to 64, j = 1 to 32), the following processing is performed for each lattice unit.

From the transmitter of the sonar device to be predicted, along the sound ray set for each depression angle at a constant interval, the propagation loss and the incident supplemental angle, which is the angle formed by the sound ray and the horizontal plane, at each sampling point at a constant distance To calculate.

For example, in the case of the grid Ki, j shown in FIG. 2, P1 to P1 are set as sampling points along the sound ray 1 at regular intervals.
Since P3 is included, the propagation loss and the incident complementary angles θ1n-1, θ1n, θ1n + 1 at each sampling point P1 to P3 are calculated, and similarly, sampling is performed at regular intervals along the other sound rays 2, ..., M. The propagation loss and the incident incident angle at each sampling point included in the grid Ki, j among the points are calculated. Then, all of these calculated propagation losses are stored in the table T1 as the propagation loss applied to the grating Ki, j, and all the similarly calculated incident complementary angles are stored in the table T2 as the incident complementary angle applied to the grating Ki, j. .

Next, the propagation loss average calculator 3 and the incident supplemental angle average calculator 4 operate.

The propagation loss average calculator 3 inputs the propagation loss of each lattice stored in the table T1, calculates the average value of the propagation loss for each lattice, and stores this in the table T3.

On the other hand, the incident supplementary angle average calculation unit 4 inputs the incident supplementary angle applied to each grating stored in the table T2, calculates the average value of the incident supplementary angle for each grating, and calculates the average value.
Store in 4.

Next, the signal excess calculator 5 operates,
The signal excess value of the seafloor reverberation dominant region is calculated for all the gratings through which the sound rays pass (that is, the gratings in which the average values of the propagation loss and the incident complementary angle are stored in the tables T3 and T4).

Here, the signal excess value of the seafloor reverberation control area is the sonar specification information input by the input unit 1,
It is calculated using the propagation loss average value stored in the table T3 and the seabed scattering intensity data registered in the seabed scattering intensity registration unit 6 corresponding to the incident supplementary angle average value stored in the table T4. If the sea bottom scattering intensity data corresponding to the incident supplementary angle average value itself is not registered in the sea bottom scattering intensity registration unit 6, the sea bottom scattering intensity data close to the incident supplementary angle average value is interpolated and the corresponding sea bottom scattering intensity data is calculated. Obtain scattering intensity data.

Then, the signal excess calculating unit 5 stores the calculated result in the table T5 for each lattice unit as shown in FIG. That is, + is stored for a lattice having a positive signal excess value, and − is stored for a lattice having a negative signal excess value. It should be noted that N is stored in the lattice where no sound ray exists.

Next, the detection distance calculation unit 7 calculates the detection distance according to the contents of the table T5. The calculation of the detection distance is based on the characteristic that the region where the signal excess value is positive (+) is the region where the target detection is possible. calculate. That is, in this embodiment, since 32 grids exist in the depth direction, first of all the grids of K1,1 to K64,1 having the longest distance in the horizontal direction in which the signal excess value is positive, Based on the horizontal distance of this grid and the sonar position (sound source depth), the detection distance (direct distance) is obtained from the Pythagorean theorem. Next, the grid of K1,2 to K64,2, etc.
The detection distance of each remaining grid depth is calculated similarly. Therefore, the detection distance is obtained for a total of 32 grid depths.

The detection distance calculation unit 7 displays the calculated detection distance for each grid depth on the display unit 8 in a format as shown in FIG. 4, for example.

Further, the detection distance calculation unit 7 uses the table T5.
The detectable range is defined by connecting the boundaries of the lattice where the signal excess value inside is positive with a polygonal line, and the obtained detectable range is graduated on the vertical axis and the horizontal distance on the horizontal axis. A graph as shown in FIG. 5 is displayed on the display unit 8. The inside of the polygonal line graph 50 in FIG. 5 is the detectable range, and it is possible to read the minimum detection distance which cannot be found only by the display as shown in FIG.

[0031]

As described above, the prediction calculation processor of the present invention calculates the incident supplementary angle not only for the gratings of a specific depth but also for all the gratings, and similarly the signal excess values of all the gratings. Since it was calculated and the detection distance for each grid depth was obtained from the signal excess value of all grids,
It is possible to obtain the detection distance for each total grid depth with one calculation.

Further, since the detectable range in the submarine reverberation controlled area is displayed as a graph with the depth and the horizontal distance as axes, the detectable range can be easily grasped.

[Brief description of drawings]

FIG. 1 is a configuration diagram of an embodiment of a prediction calculation processor of the present invention.

FIG. 2 is an explanatory diagram of an operation of a propagation loss / incidence supplementary angle calculation unit.

FIG. 3 is a diagram showing an example of storage of calculated signal excess values of each lattice.

FIG. 4 is a diagram showing a detection distance display example of the present invention.

FIG. 5 is a diagram showing an example of a detectable range display graph of the present invention.

FIG. 6 is a configuration diagram of a conventional prediction calculation processor.

FIG. 7 is a diagram showing a conventional detection distance display example.

[Explanation of symbols]

 DESCRIPTION OF SYMBOLS 1 ... Input part 2 ... Propagation loss / incidence supplementary angle calculation part 3 ... Propagation loss average calculation part 4 ... Incidence supplementary angle average calculation part 5 ... Signal excess calculation part 6 ... Submarine scattering intensity registration part 7 ... Detection distance calculation part 8 ... Display T1-T5 ... Table

Front page continuation (72) Inventor Tamotsu Fujiwara 3-20-4 Nishishimbashi, Minato-ku, Tokyo Inside NEC Engineering Co., Ltd.

Claims (2)

[Claims] 1. A prediction calculation processor for predictively calculating a detection distance of a sonar device for detecting an underwater target, comprising: an input unit for inputting sonar specification information, environmental conditions, and a calculation range; and a transmitter of the sonar device. A propagation loss and incident supplementary angle calculation unit that calculates a propagation loss and an incident supplementary angle for each sampling point at a constant distance along a sound ray set for each depression angle at a constant interval, and the propagation loss and incident supplementary angle calculation unit. A propagation loss average calculator that calculates the average value of the propagation loss for each grid unit obtained by inputting the calculated propagation loss and dividing the designated sea area in the horizontal direction and the depth direction; The incident supplementary angle calculated by the angle calculator is input, and the incident supplementary angle average calculator calculates the average value of the incident supplementary angle for each of the above-mentioned lattice units, and the sea bottom scatter that registers the sea bottom scattering intensity value for each incident supplementary angle. Strength registration unit, the input unit The information entered in, the average value of the propagation loss calculated by the propagation loss average calculation unit, and the seabed scattering intensity registration corresponding to the average value of the incident supplementary angle calculated by the incident supplementary angle average calculation unit Based on the seabed scattering intensity value registered in the section, a signal excess calculating unit that calculates a signal excess value for each lattice unit, and a signal excess value for each lattice calculated by the signal excess calculating unit. Prediction characterized by comprising a detection distance calculation unit for calculating the detection distance in the seafloor reverberation controlled area for each depth, and a display unit for displaying the detection distance for each grid depth calculated by the detection distance calculation unit Calculation processor. 2. The detection distance calculation unit obtains a detection range based on the signal excess value of each lattice calculated by the signal excess calculation unit, and the detection range obtained with the depth and horizontal distance as axes. The prediction calculation processor according to claim 1, wherein the prediction calculation processor has a configuration for displaying a graph depicting the above on the display unit.