CN104316915A - Distortion resistance weak signal detection threshold processing method used in torpedo homing system - Google Patents
Distortion resistance weak signal detection threshold processing method used in torpedo homing system Download PDFInfo
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- CN104316915A CN104316915A CN201410564241.9A CN201410564241A CN104316915A CN 104316915 A CN104316915 A CN 104316915A CN 201410564241 A CN201410564241 A CN 201410564241A CN 104316915 A CN104316915 A CN 104316915A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
- G01S7/52—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S15/00
- G01S7/52003—Techniques for enhancing spatial resolution of targets
Abstract
The invention provides a weak signal detection threshold processing method used in a torpedo homing system, and particularly relates to a distortion resistance weak signal detection threshold processing method used in the torpedo homing system. The core technology achievement is that mutation limit treatment of an adaptive threshold is achieved under an underwater sound propagation condition. The distortion resistance weak signal detection threshold processing method used in the torpedo homing system includes steps: firstly, performing mutation discrimination; secondly, performing the threshold mutation limit treatment. By using the distortion resistance weak signal detection threshold processing method used in the torpedo homing system, adaptability of the adaptive threshold to waveform distortion in the underwater sound propagation process can be improved, and therefore weak signal detection ability of the torpedo homing system is improved. The distortion resistance weak signal detection threshold processing method used in the torpedo homing system uses a time smoothing technology to limit threshold mutation caused by the waveform distortion, is simple and convenient in calculation, and strong in adaptability, and can meet needs for signal detection in the torpedo homing system.
Description
Technical field
To the present invention relates in a kind of Torpedo Homing for the Testing of Feeble Signals threshold processing method under echo distortion condition, belong to Torpedo Homing field of engineering technology.
Background technology
In Torpedo Homing testing process, underwater acoustic channel is one of key factor affecting detection perform.Sound self-conductance signal will produce propagation attenuation and wave form distortion in water transmission process, and especially under the condition of the South Sea, sound velocity gradient change is violent, and channel variation causes glint serious, cause its amplitude to reduce and associated loss increase.In signal detection process, in order to improve detectability and adapt to different hydrological environment, general employing adaptive threshold processing mode.Usually according to the background energy of real-time reception, adopt a series of process, thus obtain the adaptive threshold in this moment.When target echo generation wave form distortion, coherent detection peak value will be caused to decline, and simultaneously because signal energy is diffused in background thus improve detection threshold, target detection will be caused to lose, cause torpedo attacking unsuccessfully.For the homing system Testing of Feeble Signals degradation problem that wave form distortion causes, the present invention proposes a kind of restriction thresholding level and smooth based on time domain sudden change treatment technology first, this invention has easy, the adaptable advantage of calculating, and by a large amount of combined attack water surface/realistic objective verification experimental verification under water, effectively can improve homing system Testing of Feeble Signals ability, there is very high practical value and application prospect.
Summary of the invention
The present invention proposes a kind of Testing of Feeble Signals threshold processing method in Torpedo Homing, its core technology is: the restriction sudden change process achieving adaptive threshold under underwater sound propagation condition, adopt the method can improve the adaptability of adaptive threshold to wave form distortion in underwater sound propagation process, thus improve torpedo homing system Testing of Feeble Signals ability; The thresholding sudden change that the present invention adopts time smoothing technology to cause to limit wave form distortion, the method calculates easy, strong adaptability, can meet the needs of torpedo homing system input.
For the Testing of Feeble Signals threshold processing method under echo distortion condition in the Torpedo Homing that the present invention proposes, comprise the steps:
Step one: thresholding sudden change differentiates
If transmit signal pulse length is L, each batch time is spaced apart τ, gets N=L/ τ, and present lot is i, i>2 × N, and present lot thresholding initial value is fGate0.According to the threshold value fGate (m) of the i-th-2*N batch to i-N batch, calculate thresholding maximal value fMaxGate:
fMaxGate＝max{fGate(m)},i-2×N≤m≤i-N……(1)
When meeting fGate0>k1*fMaxGate, then think that thresholding is undergone mutation, and enters step 2;
Otherwise thresholding is not undergone mutation, fGate (i)=fGate0.
K1 is thresholding mutation factor, and during its expression driftlessness, the maximum change of thresholding in certain hour section, generally gets 3 ~ 5.
Step 2: thresholding sudden change restriction process
When meeting thresholding sudden change, final thresholding result of calculation is:
fGate(i)＝k1*fMaxGate+(fGate0-k1*fMaxGate)*k2……(2)
In formula, k2 is thresholding limit coefficient, and it represents the size to thresholding sudden change restriction, meets 0<k2<1.Increase the false-alarm that k1 prevents reverberation from bringing, reduce k2 and limit thresholding sudden change, during use, improve the Testing of Feeble Signals ability under echo distortion condition according to actual measured results adjustment k1 and k2.
The present invention has the following significant advantage and the innovation that are different from traditional adaptive threshold algorithm:
Feature 1: propose first based on the level and smooth restriction thresholding sudden change treatment technology of time domain
According to the result of calculation of previous batch thresholding, adopt time domain smoothing technique to limit thresholding sudden change, thus improve homing system Testing of Feeble Signals ability;
Feature 2: limit the thresholding under specified conditions according to thresholding sudden change criterion
According to thresholding result of calculation, only have when meeting thresholding sudden change conditions and just carry out thresholding restriction, reduce restriction thresholding to a certain extent and to suddenly change the risk brought.
Accompanying drawing explanation
Fig. 1: anti-distortion Testing of Feeble Signals threshold processing method flow diagram in a kind of Torpedo Homing
Embodiment
Now in conjunction with the embodiments, the invention will be further described for accompanying drawing:
If transmit signal pulse length is 50ms, each batch time is spaced apart 5ms, then N=10, and the initial threshold corresponding to the 1st batch to the 50th batch is { 129,101,126,127,123,102,107,110,120,104,121,103,119,114,123,121,127,126,110,120,105,100,122,155,214,327,418,518,425,324,217,105,107,126,100,114,105,129,121,115,114,101,120,101,102,115,102,124,124,121}.Get k1=3, k2=0.5.
1st batch to the 20th batch, do not meet the condition of i>2 × N, do not calculate, threshold value gets original value.
First, the threshold value of the 21st batch is calculated.21st batch of corresponding fGate0=105, fMaxGate=max (129,101,126,127,123,102,107,110,120,104)=129, and 105<3*129, do not meet the condition of fGate0>k1*fMaxGate, thresholding is not undergone mutation, then fGate (21)=105.
Then, the threshold value of the 22nd batch is calculated.22nd batch of corresponding fGate0=100, fMaxGate=max (101,126,127,123,102,107,110,120,104,121)=127, and 100<3*127, do not meet the condition of fGate0>k1*fMaxGate, thresholding is not undergone mutation, then fGate (22)=100.
In like manner, the 23 to 25 batch of thresholding is not all undergone mutation, and threshold value is fGate (23)=122, fGate (24)=155, fGate (25)=327.
Next, the threshold value of the 26th batch is calculated, the 26th batch of corresponding fGate0=418, fMaxGate=max (107,110,120,104,121,103,119,114,123,121)=123, and 418>3*123, meet the condition of fGate0>k1*fMaxGate, thresholding is undergone mutation, then fGate (26)=3*123+ (418-3*123) * 0.5=393.5.
In like manner, 27th batch and the 28th batch, thresholding is undergone mutation, and the final result of calculation of thresholding is fGate (27)=3*127+ (518-3*127) * 0.5=449.5, fGate (27)=3*127+ (415-3*127) * 0.5=398.
By that analogy, the 1st batch to the 50th batch final calculation result after this method is adopted to be { 129,101,126,127,123,102,107,110,120,104,121,103,119,114,123,121,127,126,110,120,105,100,122,155,214,327,393.5,449.5,398,324,217,105,107,126,100,114,105,129,121,115,114,101,120,101,102,115,102,124,124,121}.
Claims (3)
1. an anti-distortion Testing of Feeble Signals threshold processing method in Torpedo Homing, is characterized in that, comprise the steps:
Step one: thresholding sudden change differentiates:
If transmit signal pulse length is L, each batch time is spaced apart τ, gets N=L/ τ, and present lot is i, i>2 × N, and present lot thresholding initial value is fGate0.According to the threshold value fGate (m) of the i-th-2*N batch to i-N batch, calculate thresholding maximal value fMaxGate:
fMaxGate＝max{fGate(m)},i-2×N≤m≤i-N……(1)
When meeting fGate0>k1*fMaxGate, then think that thresholding is undergone mutation, and enters step 2;
Otherwise thresholding is not undergone mutation, fGate (i)=fGate0.
K1 is thresholding mutation factor, the maximum change of thresholding in certain hour section during its expression driftlessness.
Step 2: thresholding sudden change restriction process:
When meeting thresholding sudden change, final thresholding result of calculation is:
fGate(i)＝k1*fMaxGate+(fGate0-k1*fMaxGate)*k2……(2)
In formula, k2 is thresholding limit coefficient, and it represents the size to thresholding sudden change restriction.
2. an anti-distortion Testing of Feeble Signals threshold processing method in Torpedo Homing as described in claim 1, it is characterized in that, the thresholding mutation factor k1 in described step one gets 3 ~ 5.
3. an anti-distortion Testing of Feeble Signals threshold processing method in Torpedo Homing as described in claim 1, is characterized in that, the thresholding limit coefficient k2 in described step 2 meets: 0<k2<1.
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| CN201410564241.9A CN104316915B (en) | 2014-10-22 | A kind of anti-distortion Testing of Feeble Signals threshold processing method in Torpedo Homing |
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| CN201410564241.9A CN104316915B (en) | 2014-10-22 | A kind of anti-distortion Testing of Feeble Signals threshold processing method in Torpedo Homing |
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| CN104316915B CN104316915B (en) | 2017-01-04 |
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Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP0518742A1 (en) * | 1991-06-14 | 1992-12-16 | Sextant Avionique | Method for detecting a noisy wanted signal |
| CN104035072A (en) * | 2014-05-12 | 2014-09-10 | 中国船舶重工集团公司第七二四研究所 | Automatic matching correlation processing method for detecting weak pulse signals |
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP0518742A1 (en) * | 1991-06-14 | 1992-12-16 | Sextant Avionique | Method for detecting a noisy wanted signal |
| CN104035072A (en) * | 2014-05-12 | 2014-09-10 | 中国船舶重工集团公司第七二四研究所 | Automatic matching correlation processing method for detecting weak pulse signals |
Non-Patent Citations (2)
| Title |
|---|
| LIU XUANCHAO ET AL.: "Weak Signal Detection Study Based on Duffing", 《INFORMATION ENGINEERING AND ELECTRONIC COMMERCE (IEEC)》 * |
| 郝才勇: "噪声中弱小信号检测门限的研究", 《中国无线电》 * |
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