JP2845689B2 - Forecast calculation processor - Google Patents

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 submarine reverberation controlled area.

[0002]

2. Description of the Related Art Conventionally, this kind of predictive calculation processor employs a configuration as shown in FIG. 6, and calculates a detection distance in a submarine reverberation dominant region for each certain submarine depth. Hereinafter, a conventional prediction calculation processor will be described with reference to FIG.

[0003] In FIG. 6, an input unit 11 receives input information such as a transmission level, a frequency, a sound source depth, a beam width, etc. from an input device such as a keyboard (not shown) and environmental conditions such as water temperature distribution data with respect to the water depth. In addition to the information on the calculation range for the horizontal distance and the water depth, the seabed depth and the target depth to be calculated this time are input.

[0004] Next, a propagation loss calculating section 12 calculates a propagation loss at each sampling point at a fixed distance interval from a transmitter of the sonar device along a sound ray set at a fixed depression angle at a fixed interval. Then, at the sampling point where the sound ray depth has reached the seabed depth, the incident supplementary angle calculation unit 13 calculates the incident supplementary angle which is the angle between the sound ray and the horizontal plane.

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

The incident angle supplementary angle calculating unit 15 calculates the average value of the incident angle supplementary angle calculated at the sampling point of the sound ray included in each lattice at a depth corresponding to the current seabed depth.

Next, the signal excess calculator 16 calculates the sonar specification information input by the input unit 11, the average value of the propagation loss of each grating calculated by the average calculation unit 14, and the average of the incident angle supplementary angle. The submarine scattering intensity registration unit 1 corresponding to the average value of the angle of incidence complement at the current depth of the seabed calculated in 15
Using the seafloor scattered intensity data (seafloor reverberation level data) registered in 7, the signal excess value of the seafloor reverberation dominant region in each grid at a depth corresponding to the current seafloor depth is calculated.

Then, the detection distance calculating section 18 calculates the detection distance based on the calculated signal excess value of each grid, and displays the sound source depth Zs, the target depth Zt, and the target depth Zs on the display section 19, for example, as shown in FIG. Seabed depth Zb (the above is input part 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 dominant region is calculated for a certain seafloor depth. By performing this calculation for each required seafloor depth, the seafloor reverberation dominance for each seafloor depth is calculated. The search distance in the area was determined.

[0010]

As described above, in the conventional prediction calculation processor, since the detection distance is calculated in the seafloor reverberation dominating region with the seafloor depth fixed, in a sea area where the seafloor depth changes continuously, , The calculations had to be repeated many times. That is, when obtaining the detection distance for N different seabed depths, the calculation described in FIG. 6 has to be repeated N times.

An object of the present invention is to solve such a conventional problem, and an object of the present invention is to make it possible to calculate a detection distance in a seafloor reverberation dominated region at each depth by a single calculation.

[0012]

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. An input section for inputting a calculation range,
A propagation loss / incidence supplementary angle calculation unit for calculating a propagation loss and an incident supplementary angle at each sampling point at a constant distance interval along a sound ray set at a constant depression angle from the transmitter of the sonar device; A propagation loss average calculator that inputs the propagation loss calculated by the incident angle calculator, and calculates an 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; Inputting the supplementary angle calculated by the propagation loss / incident supplementary angle calculation unit, calculating an average value of the supplementary angle for each lattice unit, and calculating the average value of the supplementary angle; The seafloor scattering intensity registration unit that registered the intensity value, the information input at the input unit, the average value of the propagation loss calculated by the propagation loss average calculation unit, and the average value calculated by the incident supplementary angle average calculation unit The seabed scattering intensity increase corresponding to the average Based on the seafloor scattered intensity value registered in the section, a signal excess calculating section that calculates a signal excess value for each of the grid units, based on the signal excess value of each grid calculated by the signal excess calculating section, The apparatus includes a detection distance calculation unit that calculates a detection distance in the seafloor reverberation dominant region for each depth, and a display unit that displays the detection distance for each grid depth calculated by the detection distance calculation unit.

Further, the detection distance calculating section obtains a detectable range based on the signal excess value of each grid calculated by the signal excess calculating section, and the detected detectable range is obtained by using the depth and the horizontal distance as axes. Is displayed on the display unit.

[0014]

In the predictive calculation processor of the present invention, the input unit inputs sonar specification information, environmental conditions, and a calculation range,
According to the input information, the propagation loss / incident supplementary angle calculator calculates the propagation loss and incident supplementary angle for each sampling point at a fixed distance interval from the transmitter of the sonar device along a sound ray set for each fixed angle of depression. Then, the propagation loss average calculation unit inputs the propagation loss calculated by the propagation loss / incident complement angle calculation unit and divides the designated sea area into the horizontal direction and the depth direction. The average value of the propagation loss is calculated. Further, the incident angle supplementary angle calculator inputs the incident angle supplementary angle calculated by the propagation loss / incident angle supplementary calculator, and calculates the average value of the incident angle complement for each lattice unit. Then, the signal excess calculation unit calculates 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 complement angle calculated by the incident complement angle average calculation unit. Based on the seafloor scattering intensity value registered in the seafloor scattering intensity registration unit, a signal excess value is calculated for each grid unit, and the detection distance calculation unit calculates the signal excess value of each grid calculated by the signal excess calculation unit. Based on the value, the detection distance in the seafloor reverberation dominated region 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 grid calculated by the signal excess calculation unit, and displays a graph depicting the detectable range on the display unit with depth and horizontal distance as axes. indicate.

[0015]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Next, embodiments of the present invention will be described in detail with reference to the drawings.

Referring to FIG. 1, an embodiment of a prediction calculation processor according to the present invention is a sonar device to be predicted, information on sonar specifications such as transmission level, frequency, sound source depth, beam width, etc., and water temperature with respect to water depth. Input unit 1 for externally inputting the environmental conditions such as distribution, the horizontal distance and the calculation range for water depth
Propagation loss and incident angle calculation to calculate the propagation loss and incident angle at each sampling point at a constant distance along the sound ray set at a fixed angle of depression from the transmitter of the sonar device to be predicted Unit 2, a propagation loss average calculation unit 3 for calculating an average value of propagation loss for each grid unit obtained when the designated sea area is divided into a grid in the horizontal direction and the depth direction, and an incident compensation unit for every grid. Incidence supplementary angle average calculating unit 4 for calculating the average value of the angle, seabed scattering intensity registration unit 6 for registering the incidental supplementary angle and the seafloor scattering intensity value for each seafloor quality, and signal access of the seafloor reverberation dominant region for each lattice unit A signal excess calculating unit 5 for calculating a (signal surplus level) value; a detection distance of the seafloor reverberation dominant region for each grid depth; 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 predictive calculation processor of the present embodiment thus constructed operates as follows.

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

Next, the propagation loss / incidence supplement angle calculation unit 2 divides the designated sea area corresponding to the calculation range of 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
(I = 1 to 64, j = 1 to 32), the following processing is performed for each lattice unit.

Propagation loss and incident angle, which is the angle formed between the sound ray and the horizontal plane, at each sampling point at a fixed distance from the transmitter of the sonar device to be predicted along a sound ray set at a fixed depression angle at a fixed interval. Is calculated.

For example, in the case of the grid Ki, j shown in FIG.
Since P3 is included, the propagation loss and the incident supplementary angles θ1n-1, θ1n, θ1n + 1 at the respective sampling points P1 to P3 are calculated, and sampling is performed at a fixed distance along other sound rays 2,. The propagation loss and incident supplement angle at each sampling point included in the lattice Ki, j among the points are calculated. Then, all the calculated propagation losses are stored in the table T1 as the propagation losses on the grating Ki, j, and all similarly calculated incident angles are stored in the table T2 as the incident angles on the grating Ki, j. .

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

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

On the other hand, the incident angle supplementary angle calculator 4 inputs the incident angle supplementary for each lattice stored in the table T2, calculates the average value of the incident angle supplementary for each lattice, and calculates this value in the table T2.
4 is stored.

Next, the signal excess calculator 5 operates,
For all the grids through which the sound ray passes (that is, the grids in which the average values of the propagation loss and the incident supplementary angle are stored in the tables T3 and T4), the signal excess value of the undersea reverberation dominant region is calculated.

Here, the signal excess value of the seafloor reverberation dominant region is obtained by the sonar specification information input at the input unit 1 and
The calculation is performed 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 seabed scattering intensity data corresponding to the incident angle supplementary angle itself is not registered in the seabed scattering intensity registration unit 6, the seabed scattering intensity data close to the incident angle supplementary angle average is interpolated and calculated. Obtain scattering intensity data.

Then, the signal excess calculating section 5 stores the calculated result in the table T5 for each grid 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. Note that N is stored in the lattice where no sound ray exists.

Next, the detection distance calculation section 7 calculates the detection distance according to the contents of the table T5. This detection distance is calculated by calculating the detection distance (direct distance) for each grid depth for a grid with a positive signal excess value, since the area where the signal excess value is positive (+) is the target detectable area. calculate. That is, in the present embodiment, since there are 32 grids in the depth direction, first, among the grids of K1,1 to K64,1, the grid having the longest horizontal distance in which the signal excess value is positive is obtained. Based on the horizontal distance of the grid and the sonar position (sound source depth), the detection distance (direct distance) is obtained from the three-square theorem. Next, a grid of K1,2 to K64,2, etc.
The detection distance for each of the remaining grid depths is calculated in the same manner. Therefore, the detection distance is obtained for a total of 32 grid depths.

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

Further, the detection distance calculating section 7 has a table T5
The detectable range is determined by connecting the boundaries of the grid where the signal excess value is positive with a broken line, the detected detectable range, the vertical axis indicates depth, and the horizontal axis indicates the horizontal distance. 5 is displayed on the display unit 8 in a graph as shown in FIG. The inside of the line graph 50 in FIG. 5 is the detectable range, and it is possible to read the minimum detection distance that cannot be determined 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 a grid of a specific depth but also for all grids, and similarly calculates the signal excess values of all grids. Since it was calculated and the detection distance for each grid depth was calculated from the signal excess value of this grid,
The detection distance for every grid depth can be obtained by one calculation.

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

[Brief description of the drawings]

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

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

FIG. 3 is a diagram illustrating a storage example of a calculated signal excess value of each grid.

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 and incidence supplement angle calculation part 3 ... Propagation loss average calculation part 4 ... Incident supplement angle average calculation part 5 ... Signal excess calculation part 6 ... Ocean floor scattering intensity registration part 7 ... Detecting distance calculation part 8 ... Display unit T1 to T5 ... Table

Continuation of the front page (72) Inventor Tamotsu Fujiwara 3-20-4 Nishi-Shimbashi, Minato-ku, Tokyo Japan Electric Engineering Co., Ltd. (56) References JP-A-2-102413 (JP, A) (58) Investigated Field (Int.Cl. ⁶ , DB name) G01C 13/00 G01S 15/08

Claims (2)

(57) [Claims] 1. A prediction calculation processor for predicting and 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 for the sonar device. A propagation loss / incidence supplementary angle calculation unit for calculating a propagation loss and an incident supplementary angle at each sampling point at a fixed distance interval along a sound ray set at each fixed depression angle; The calculated path loss is input, and a path loss average calculator for calculating an average value of the path loss for each lattice unit obtained when the designated sea area is divided in the horizontal direction and the depth direction; and An incident supplementary angle calculating unit that inputs the incident supplementary angle calculated by the angle calculating unit, and calculates an average value of the incident supplementary angle for each lattice unit; A strength registration unit, and the input unit , The seabed scattering intensity registration corresponding to the average value of the propagation loss calculated by the propagation loss average calculator and the average value of the incident complement angle calculated by the incident complement angle average calculator. A signal excess calculating unit that calculates a signal excess value for each grid unit based on the seafloor scattering intensity value registered in the unit, and a signal excess value of each grid calculated by the signal excess calculating unit. A prediction distance comprising: a detection distance calculation unit that calculates a detection distance in the seafloor reverberation dominated region for each depth; and a display unit that displays the detection distance for each grid depth calculated by the detection distance calculation unit. Calculation processor. 2. The detection distance calculating section obtains a detectable range based on a signal excess value of each grid calculated by the signal excess calculating section, and the obtained detectable range is obtained by using depth and horizontal distance as axes. 2. The prediction calculation processor according to claim 1, wherein the prediction calculation processor has a configuration in which a graph depicting the above is displayed on the display unit.