Passive recognition algorithm performance test system

Abstract

The invention discloses a passive recognition algorithm performance test system, and relates to the technical field of passive acoustic monitoring, and the system comprises a signal generator, a transmitting channel, a transducer, a hydrophone, a receiving channel, a receiving signal processor, a signal-to-noise ratio calculation module, a transmitting voltage calculation module, and a display. The signal generator, the transmitting channel and the transducer are sequentially connected, the hydrophone, the receiving channel, the received signal processor, the signal-to-noise ratio calculation module and the transmitting voltage calculation module are sequentially connected, and the display is connected with the received signal processor; the transducer and the hydrophone are arranged in water of the silencing water tank; a passive recognition algorithm is configured in the received signal processor. The signal generator, the transmitting channel, the transducer, the hydrophone, the receiving channel, the receiving signal processor, the signal-to-noise ratio calculation module, the transmitting voltage calculation module and the display jointly determine a detection threshold value of a passive recognition algorithm. The testing process is simplified, and the testing efficiency and the automation degree are improved.

Description

Technical Field

[0001] The present application relates to the technical field of passive acoustic monitoring, and in particular to a passive recognition algorithm performance testing system. Background Art

[0002] Passive acoustic monitoring technology is a technology that detects and identifies sound sources by receiving and analyzing acoustic signals in the environment. Unlike active acoustic monitoring technology, passive acoustic monitoring does not rely on the emission of sound waves, so it has the advantages of strong concealment, wide adaptability, and less interference in many application scenarios. Passive acoustic monitoring is widely used in underwater acoustic detection, environmental monitoring, earthquake monitoring, marine ecological protection and other fields.

[0003] In practical applications, the quality of receiving and processing acoustic signals directly affects the performance and accuracy of the monitoring system. The signal detection capability of the passive acoustic monitoring system mainly depends on the signal-to-noise ratio of the received signal, that is, the ratio of the useful signal to the background noise. In order to improve the monitoring effect and accuracy of the system, it is usually necessary to evaluate and optimize the key performance parameters of the system, such as the detection threshold, sound source level and maximum detection distance.

[0004] At present, the performance test of passive acoustic monitoring systems and algorithms mainly relies on the test platform built by electronic equipment such as signal generators, oscilloscopes, and spectrum analyzers. It is necessary to manually reduce the transmission voltage to test the detection threshold of the passive acoustic monitoring system, and the test process is relatively cumbersome. Therefore, it is particularly important to develop a test system and method that simplifies the test process, improves test efficiency, and can accurately evaluate system performance. Summary of the invention

[0005] The purpose of this application is to provide a passive recognition algorithm performance test system to solve the problem of manual adjustment of the transmission voltage and low degree of automation.

[0006] To achieve the above objectives, this application provides the following solutions:

[0007] The present application provides a passive identification algorithm performance test system, comprising: a signal generator, a transmitting channel, a transducer, a hydrophone, a receiving channel, a receiving signal processor, a signal-to-noise ratio calculation module, a transmitting voltage calculation module and a display; the signal generator, the transmitting channel and the transducer are connected in sequence, the hydrophone, the receiving channel, the receiving signal processor, the signal-to-noise ratio calculation module and the transmitting voltage calculation module are connected in sequence, and the display is connected to the receiving signal processor; the transducer and the hydrophone are both arranged in the water of an anechoic pool; the receiving signal processor is configured with a passive identification algorithm;

[0008] The signal generator transmits random noise into the water through the transmitting channel and the transducer in sequence, and the receiving signal processor receives the random noise through the hydrophone and the receiving channel in sequence, and calculates the noise intensity; the noise intensity is the intensity of the random noise;

[0009] The signal generator transmits a first sound signal having a voltage of a randomly selected first transmission voltage into water through the transmission channel and the transducer in sequence, and the receiving signal processor receives the first sound signal through the hydrophone and the receiving channel in sequence, and calculates a first signal strength; the first signal strength is the strength of the first sound signal;

[0010] The signal-to-noise ratio calculation module calculates the first receiving end signal-to-noise ratio according to the noise intensity and the first signal intensity;

[0011] The signal generator transmits a first noise-added signal into the water through the transmitting channel and the transducer in sequence; the first noise-added signal is a signal obtained by fusing the random noise and the first sound signal;

[0012] The receiving signal processor receives the first noise-added signal through the hydrophone and the receiving channel in sequence;

[0013] The transmitting voltage module adjusts the first receiving end signal-to-noise ratio according to a set step length based on the initial display result of the display for the first noise-added signal to obtain a second receiving end signal-to-noise ratio, determines a second signal strength according to the second receiving end signal-to-noise ratio and the noise strength, and calculates a second transmitting voltage; the display result is display or non-display, when the display result is display, the adjustment is to reduce, when the display result is not to display, the adjustment is to increase;

[0014] The signal generator sequentially transmits a second noise-added signal having a voltage of a second transmitting voltage into the water through the transmitting channel and the transducer, and updates the first noise-added signal to the second noise-added signal, and returns to "the signal generator sequentially transmits a first noise-added signal into the water through the transmitting channel and the transducer", until the displayed result is opposite to the initial displayed result, the receiving-end signal-to-noise ratio of the corresponding first noise-added signal is determined as the detection threshold of the passive recognition algorithm; the second noise-added signal is the random noise and the second sound signal having a voltage of the second transmitting voltage.

[0015] Optionally, the transmitting channel includes: a driving circuit, a power amplifier and a low-pass filter connected in sequence; the driving circuit is connected to the signal generator, the power amplifier is connected to the transmitting voltage calculation module, and the low-pass filter is connected to the transducer.

[0016] Optionally, the receiving channel includes: a preamplifier, a gain controller and a filter circuit connected in sequence; the preamplifier is connected to the hydrophone, and the filter circuit is connected to the receiving signal processor.

[0017] Optionally, calculate the noise intensity, including:

[0018] The noise intensity is calculated using a noise intensity calculation formula according to the sensitivity of the hydrophone and the voltage effective value of the random noise; the noise intensity calculation formula is:

[0019] N0=20×log 10 (V N )-S h ;

[0020] Where N0 is the noise intensity; V N is the voltage effective value of random noise; S h is the sensitivity of the hydrophone.

[0021] Optionally, calculating the first signal strength includes:

[0022] The first signal strength calculation formula is used to calculate the first signal strength according to the sensitivity of the hydrophone and the effective value of the voltage of the first sound signal; the first signal strength calculation formula is:

[0023] S0=20×log 10 (V S )-S h ;

[0024] Wherein, S0 is the first signal strength; V S is the effective value of the voltage of the first sound signal.

[0025] Optionally, determining the second signal strength according to the second receiving end signal-to-noise ratio and the noise strength includes:

[0026] The second signal strength calculation formula is used to calculate the second signal strength based on the second receiving end signal-to-noise ratio and the noise strength; the second signal strength calculation formula is:

[0027] S1=SNR1+N0;

[0028] Wherein, S1 is the second signal strength; SNR1 is the second receiving end signal-to-noise ratio.

[0029] Optionally, calculating the second emission voltage includes:

[0030] The second transmitting voltage is calculated using the second transmitting voltage calculation formula based on the second signal strength, the distance between the hydrophone and the transducer, and the transmitting sensitivity of the transducer; the second transmitting voltage calculation formula is:

[0031]

[0032] Where, v1 is the second transmitting voltage; R is the distance between the hydrophone and the transducer; S V is the transmitting sensitivity of the transducer.

[0033] Optionally, the signal generator transmits a second noise-added signal having a voltage of a second transmitting voltage into water through the transmitting channel and the transducer in sequence, comprising:

[0034] adjusting a power amplifier in the transmit channel according to the first transmit voltage and the second transmit voltage;

[0035] The signal generator sends a first noise-added signal to the transmitting channel, which sequentially passes through the transmitting channel after adjusting the power amplifier and the transducer, and transmits a second noise-added signal having a voltage of a second transmitting voltage into the water.

[0036] Optionally, adjusting a power amplifier in the transmit channel according to the first transmit voltage and the second transmit voltage includes:

[0037] Calculating the gain of the power amplifier according to the first transmit voltage and the second transmit voltage;

[0038] The power amplifier is adjusted according to the gain.

[0039] Optionally, calculating the gain of the power amplifier according to the first transmit voltage and the second transmit voltage includes:

[0040] The gain of the power amplifier is calculated based on the first transmit voltage and the second transmit voltage using a gain calculation formula; the gain calculation formula is:

[0041] gain = 20 × log 10 (V 1 / V 0 );

[0042] Among them, gain is the gain.

[0043] According to the specific embodiments provided in this application, this application discloses the following technical effects:

[0044] The present application discloses a passive recognition algorithm performance test system, which calculates the signal-to-noise ratio of the receiving end by receiving signals, and uses the negative feedback of the signal-to-noise ratio of the receiving end to adjust the transmitting voltage so as to quickly approach the detection threshold. The system can quickly and efficiently perform the performance test of the passive recognition algorithm in a water pool environment, simplify the test process, and improve the test efficiency and automation level. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0046] Figure 1 A schematic diagram of the structure of a passive recognition algorithm performance testing system provided in one embodiment of the present application. DETAILED DESCRIPTION

[0047] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0048] The purpose of this application is to provide a passive recognition algorithm performance testing system, aiming to simplify the testing process, improve testing efficiency and automation.

[0049] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, the present application is further described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0050] In an exemplary embodiment, Figure 1 As shown, a passive identification algorithm performance test system is provided, including: a signal generator, a transmitting channel, a transducer, a hydrophone, a receiving channel, a receiving signal processor, a signal-to-noise ratio calculation module, a transmitting voltage calculation module and a display; the signal generator, the transmitting channel and the transducer are connected in sequence, the hydrophone, the receiving channel, the receiving signal processor, the signal-to-noise ratio calculation module and the transmitting voltage calculation module are connected in sequence, and the display is connected to the receiving signal processor; the transducer and the hydrophone are both set in the water of the anechoic pool; the receiving signal processor is configured with a passive identification algorithm.

[0051] The signal generator transmits random noise into the water through the transmitting channel and the transducer in turn, and the receiving signal processor receives the random noise through the hydrophone and the receiving channel in turn, and calculates the noise intensity; the noise intensity is the intensity of the random noise.

[0052] Specifically, the random noise emitted by the signal generator in the present application is white noise.

[0053] The signal generator transmits a first sound signal having a voltage of a randomly selected first transmitting voltage into water through a transmitting channel and a transducer in turn, and the receiving signal processor receives the first sound signal through a hydrophone and a receiving channel in turn, and calculates the first signal strength; the first signal strength is the strength of the first sound signal.

[0054] Specifically, the first sound signal includes but is not limited to a marine life sound signal.

[0055] The signal-to-noise ratio calculation module calculates the first receiving end signal-to-noise ratio according to the noise intensity and the first signal intensity.

[0056] The signal generator transmits a first noise-added signal into the water through a transmitting channel and a transducer in sequence; the first noise-added signal is a signal obtained by fusing the random noise and the first sound signal.

[0057] The receiving signal processor receives the first noise-added signal through the hydrophone and the receiving channel in sequence.

[0058] The transmitting voltage module adjusts the signal-to-noise ratio of the first receiving end according to the set step size to obtain the signal-to-noise ratio of the second receiving end based on the initial display result of the display for the first noise-added signal, determines the second signal strength according to the second receiving end signal-to-noise ratio and the noise strength, and calculates the second transmitting voltage; the display result is display or not display, when the display result is display, it is adjusted to decrease, and when the display result is not display, it is adjusted to increase.

[0059] Specifically, the passive recognition algorithm in the receiving signal processor detects the noise-added signal. If the receiving-end signal-to-noise ratio of the noise-added signal exceeds the detection threshold, it will be detected, and the detected noise-added signal will be displayed on the display.

[0060] The signal generator sequentially transmits a second noise-added signal with a voltage of a second transmitting voltage into the water through a transmitting channel and a transducer, and updates the first noise-added signal to the second noise-added signal, and returns to "the signal generator sequentially transmits a first noise-added signal into the water through a transmitting channel and a transducer", until the displayed result is opposite to the initial displayed result, and the corresponding receiving-end signal-to-noise ratio of the first noise-added signal is determined as the detection threshold of the passive recognition algorithm; the second noise-added signal is a second sound signal with a voltage of a second transmitting voltage and random noise.

[0061] Specifically, the passive recognition algorithm performance test system also includes: a maximum detection distance calculation module, the maximum detection distance calculation module is connected to the signal-to-noise ratio calculation module, the maximum detection distance calculation module calculates the maximum detection distance of the passive recognition algorithm according to the detection threshold, and the calculation formula of the maximum detection distance includes:

[0062] SL-TH0=20×log 10 (Rm)+a(f)×Rm.

[0063]

[0064]

[0065] Wherein, SL is the sound source level; TH0 is the detection threshold; Rm is the maximum detection distance; a(f) is the weighted average absorption coefficient within the frequency band of the sound signal, and the frequency band of each sound signal is the same; a(f i ) is the i-th frequency point f in the frequency band of the sound signal i The absorption coefficient of E(f i ) is the i-th frequency point f in the frequency band of the sound signal i energy.

[0066] As an optional implementation, the transmitting channel includes: a driving circuit, a power amplifier and a low-pass filter connected in sequence; the driving circuit is connected to the signal generator, the power amplifier is connected to the transmitting voltage calculation module, and the low-pass filter is connected to the transducer.

[0067] As an optional implementation, the receiving channel includes: a preamplifier, a gain controller and a filter circuit connected in sequence; the preamplifier is connected to the hydrophone, and the filter circuit is connected to the receiving signal processor.

[0068] As an optional implementation, calculating the noise intensity includes:

[0069] The noise intensity is calculated using the noise intensity calculation formula according to the sensitivity of the hydrophone and the voltage effective value of the random noise; the noise intensity calculation formula is:

[0070] N0=20×log 10 (V N )-S h .

[0071] Where N0 is the noise intensity; V N is the voltage effective value of random noise; S h is the sensitivity of the hydrophone.

[0072] As an optional implementation manner, calculating the first signal strength includes:

[0073] The first signal strength calculation formula is used to calculate the first signal strength according to the sensitivity of the hydrophone and the voltage effective value of the first sound signal; the first signal strength calculation formula is:

[0074] S0=20×log 10 (V S )-S h .

[0075] Wherein, S0 is the first signal strength; V S is the effective value of the voltage of the first sound signal.

[0076] As an optional implementation manner, determining the second signal strength according to the second receiving end signal-to-noise ratio and the noise strength includes:

[0077] The second signal strength calculation formula is used to calculate the second signal strength based on the second receiving end signal-to-noise ratio and the noise strength; the second signal strength calculation formula is:

[0078] S1=SNR1+N0.

[0079] Wherein, S1 is the second signal strength; SNR1 is the second receiving end signal-to-noise ratio.

[0080] As an optional implementation manner, calculating the second emission voltage includes:

[0081] The second transmitting voltage is calculated using the second transmitting voltage calculation formula based on the second signal strength, the distance between the hydrophone and the transducer, and the transmitting sensitivity of the transducer; the second transmitting voltage calculation formula is:

[0082]

[0083] Where, v1 is the second transmitting voltage; R is the distance between the hydrophone and the transducer; S V is the transmitting sensitivity of the transducer.

[0084] As an optional implementation, the signal generator sequentially transmits a second noise-added signal having a voltage of a second transmitting voltage into water through a transmitting channel and a transducer, including:

[0085] A power amplifier in the transmit channel is adjusted according to the first transmit voltage and the second transmit voltage.

[0086] The signal generator sends a first noise-added signal to the transmitting channel, which sequentially passes through the transmitting channel and the transducer after the power amplifier is adjusted, and transmits a second noise-added signal having a voltage of a second transmitting voltage into the water.

[0087] As an optional implementation manner, adjusting a power amplifier in an adjusting transmission channel according to the first transmission voltage and the second transmission voltage includes:

[0088] The gain of the power amplifier is calculated according to the first transmit voltage and the second transmit voltage.

[0089] Adjust the power amplifier according to the gain.

[0090] As an optional implementation manner, calculating the gain of the power amplifier according to the first transmit voltage and the second transmit voltage includes:

[0091] The gain of the power amplifier is calculated using a gain calculation formula based on the first transmit voltage and the second transmit voltage; the gain calculation formula is:

[0092] gain = 20 × log 10 (V 1 / V 0 ).

[0093] Among them, gain is the gain.

[0094] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0095] This article uses specific examples to illustrate the principles and implementation methods of this application. The description of the above embodiments is only used to help understand the system and its core ideas of this application. At the same time, for those skilled in the art, according to the ideas of this application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting this application.

Claims

1. A passive recognition algorithm performance test system, characterized in that: The passive identification algorithm performance test system comprises: a signal generator, a transmitting channel, a transducer, a hydrophone, a receiving channel, a receiving signal processor, a signal-to-noise ratio calculation module, a transmitting voltage calculation module and a display; the signal generator, the transmitting channel and the transducer are connected in sequence, the hydrophone, the receiving channel, the receiving signal processor, the signal-to-noise ratio calculation module and the transmitting voltage calculation module are connected in sequence, and the display is connected to the receiving signal processor; the transducer and the hydrophone are both arranged in the water of an anechoic pool; the receiving signal processor is configured with a passive identification algorithm; The signal generator transmits random noise into the water through the transmitting channel and the transducer in sequence, and the receiving signal processor receives the random noise through the hydrophone and the receiving channel in sequence, and calculates the noise intensity; the noise intensity is the intensity of the random noise; The signal generator transmits a first sound signal having a voltage of a randomly selected first transmission voltage into water through the transmission channel and the transducer in sequence, and the receiving signal processor receives the first sound signal through the hydrophone and the receiving channel in sequence, and calculates a first signal strength; the first signal strength is the strength of the first sound signal; The signal-to-noise ratio calculation module calculates the first receiving end signal-to-noise ratio according to the noise intensity and the first signal intensity; The signal generator transmits a first noise-added signal into the water through the transmitting channel and the transducer in sequence; the first noise-added signal is a signal obtained by fusing the random noise and the first sound signal; The receiving signal processor receives the first noise-added signal through the hydrophone and the receiving channel in sequence; The transmitting voltage module adjusts the first receiving end signal-to-noise ratio according to a set step length based on the initial display result of the display for the first noise-added signal to obtain a second receiving end signal-to-noise ratio, determines a second signal strength according to the second receiving end signal-to-noise ratio and the noise strength, and calculates a second transmitting voltage; the display result is display or non-display, when the display result is display, the adjustment is to reduce, when the display result is not to display, the adjustment is to increase; The signal generator sequentially transmits a second noise-added signal having a voltage of a second transmitting voltage into the water through the transmitting channel and the transducer, and updates the first noise-added signal to the second noise-added signal, and returns to "the signal generator sequentially transmits a first noise-added signal into the water through the transmitting channel and the transducer", until the displayed result is opposite to the initial displayed result, and the receiving-end signal-to-noise ratio of the corresponding first noise-added signal is determined as the detection threshold of the passive recognition algorithm; the second noise-added signal is the random noise and the second sound signal having a voltage of the second transmitting voltage.

2. The passive recognition algorithm performance test system according to claim 1, characterized in that: The transmitting channel includes: a driving circuit, a power amplifier and a low-pass filter connected in sequence; the driving circuit is connected to the signal generator, the power amplifier is connected to the transmitting voltage calculation module, and the low-pass filter is connected to the transducer.

3. The passive recognition algorithm performance testing system according to claim 1, characterized in that: The receiving channel includes: a preamplifier, a gain controller and a filter circuit which are connected in sequence; the preamplifier is connected to the hydrophone, and the filter circuit is connected to the receiving signal processor.

4. The passive recognition algorithm performance testing system according to claim 1, characterized in that: Calculate the noise intensity, including: The noise intensity is calculated using a noise intensity calculation formula according to the sensitivity of the hydrophone and the voltage effective value of the random noise; the noise intensity calculation formula is: N0=20×log 10 (V N )-S h ; Where N0 is the noise intensity; V N is the voltage effective value of random noise; S h is the sensitivity of the hydrophone.

5. The passive recognition algorithm performance test system according to claim 4, characterized in that: Calculating the first signal strength includes: The first signal strength calculation formula is used to calculate the first signal strength according to the sensitivity of the hydrophone and the effective value of the voltage of the first sound signal; the first signal strength calculation formula is: S0=20×log 10 (V S )-S h ; Wherein, S0 is the first signal strength; V S is the effective value of the voltage of the first sound signal.

6. The passive recognition algorithm performance test system according to claim 5, characterized in that: Determining a second signal strength according to the second receiving end signal-to-noise ratio and the noise strength includes: The second signal strength calculation formula is used to calculate the second signal strength based on the second receiving end signal-to-noise ratio and the noise strength; the second signal strength calculation formula is: S1=SNR1+N0; Wherein, S1 is the second signal strength; SNR1 is the second receiving end signal-to-noise ratio.

7. The passive recognition algorithm performance test system according to claim 6, characterized in that: Calculating the second emission voltage includes: The second transmitting voltage is calculated using the second transmitting voltage calculation formula based on the second signal strength, the distance between the hydrophone and the transducer, and the transmitting sensitivity of the transducer; the second transmitting voltage calculation formula is: Where, v1 is the second transmitting voltage; R is the distance between the hydrophone and the transducer; S V is the transmitting sensitivity of the transducer.

8. The passive recognition algorithm performance test system according to claim 7, characterized in that: The signal generator sequentially transmits a second noise-added signal having a voltage of a second transmitting voltage into water through the transmitting channel and the transducer, comprising: adjusting a power amplifier in the transmit channel according to the first transmit voltage and the second transmit voltage; The signal generator sends a first noise-added signal to the transmitting channel, which sequentially passes through the transmitting channel after adjusting the power amplifier and the transducer, and transmits a second noise-added signal having a voltage of a second transmitting voltage into the water.

9. The passive recognition algorithm performance test system according to claim 8, characterized in that: Adjusting a power amplifier in the transmit channel according to the first transmit voltage and the second transmit voltage includes: Calculating the gain of the power amplifier according to the first transmit voltage and the second transmit voltage; The power amplifier is adjusted according to the gain.

10. The passive recognition algorithm performance test system according to claim 9, characterized in that: Calculating the gain of the power amplifier according to the first transmit voltage and the second transmit voltage includes: The gain of the power amplifier is calculated based on the first transmit voltage and the second transmit voltage using a gain calculation formula; the gain calculation formula is: gain=20×log 10 (V1 / V0); Among them, gain is the gain.

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