Radar signal gain method

Abstract

The invention discloses a radar signal gain method. The method comprises the following steps: S1, acquiring data bscan and preprocessing the data bscan; s2, absolute values of all the numerical values are obtained, and the maximum value is solved; s3, linearly connecting the maximum values to form an extreme value envelope A (i), performing inverse function on the extreme value envelope A (i) to obtain a gain function, and multiplying the original bscan by the gain function; s4, the maximum value hmax of the absolute value of each row is taken and connected to obtain a function H (t), Hilbert transform is carried out on H (t), and the signal is analyzed to take the absolute value to obtain an envelope signal; and S5, obtaining a coefficient M, taking the reciprocal of the A (t), multiplying the reciprocal by the coefficient M to obtain a gain function Wm ', and processing the two-dimensional data by using the gain function. According to the method, envelope gain is added when ground penetrating radar signals are processed, extreme value envelope is taken from each row of bscan, a gain function is obtained through Hilbert transformation, then the bscan is processed through the gain function, new bscan is obtained, undifferentiated amplification of all signals is prevented, strong gain is achieved for echo signals, and the adaptability and pertinence of an algorithm are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of signal processing, and particularly to a gain method for radar signals. Background Art

[0002] Ground penetrating radar plays a crucial role in geological exploration. As a non-invasive high-tech detection means, it can penetrate the ground surface with high precision and high resolution to deeply detect underground structures, rock layer distributions, fault positions, and potential geological anomalies. By emitting high-frequency electromagnetic waves and receiving the reflected signals, ground penetrating radar can quickly draw images of underground structures, helping professionals intuitively understand geological structures and rock properties, and playing an important role in multiple fields such as mineral exploration, groundwater investigation, engineering geological exploration, archaeological excavation, and disaster warning. In the processing of ground penetrating radar data, signal gain is a crucial step. Reasonable gain settings can significantly improve the signal-to-noise ratio of the radar, that is, the ratio of the signal to the noise. The improvement of the signal-to-noise ratio helps the radar system to more accurately identify and process target signals, reducing false alarms and missed detections. At the same time, the adjustment of the gain can also be flexibly configured according to specific application scenarios and requirements to optimize the overall performance of the radar system.

[0003] Existing radar signal gain methods usually involve complex algorithms and calculation processes, such as adaptive filtering, coherent accumulation, etc. These algorithms require high-performance computing devices and a large amount of computing resources, increasing the complexity and cost of the system. Moreover, some gain algorithms require manual adjustment of parameters to obtain the best results. However, the adjustment of these parameters is very difficult and requires rich experience and professional knowledge. The effects of manual parameter adjustment by different personnel may vary greatly. In addition, the parameter settings may be different under different geological conditions, which further increases the complexity of the adjustment. Summary of the Invention

[0004] The purpose of the present invention is to overcome the shortcomings of the prior art and provide a gain method for radar signals.

[0005] The purpose of the present invention is achieved by the following technical solutions: A gain method for radar signals, comprising the following steps:

[0006] S1: Obtain the GPR detection data bscan and perform preprocessing;

[0007] S2: Take the absolute value of all the values in the bscan, and find the maximum value of the waveform data composed of the absolute values;

[0008] S3: Linearly connect each maximum value to form an extreme value envelope A(i), take the inverse function of the extreme value envelope A(i) to obtain a gain function, and multiply the original bscan by the gain function for amplification;

[0009] S4: Take the maximum value h of the absolute value of each row max , connect them to obtain the function H(t), perform Hilbert transform on H(t), assume the signal expression is x(t) = A(t)cos(w0t + θ(t)), and substitute it into the analytic signal:

[0010]

[0011] Among them, is the complex carrier signal, A(t)e jθ(t) is the complex envelope,

[0012] |x(t)| = A(t)e jθ(t) = A(t)

[0013] The analytic signal takes the absolute value to obtain the envelope signal;

[0014] S5: Calculate the mean and variance of bscan, and the coefficient M is:

[0015] M = mean - 3 * std;

[0016] Among them, mean is the mean value, and std is the variance.

[0017] Take the reciprocal of A(t), and then multiply by the coefficient M to obtain the gain function W m' , and use this gain function to process the two-dimensional data.

[0018] Preferably, in step S1, the preprocessing includes zero adjustment, zero offset correction, background elimination, and filtering.

[0019] The present invention has the following advantages: When processing the ground penetrating radar signal, the present invention adds envelope gain, takes the extreme value envelope of each row of bscan, obtains the gain function through Hilbert transform, and then uses this gain function to process bscan to obtain a new bscan, preventing the undifferentiated amplification of all signals, having a strong gain for the echo signal, and improving the adaptability and pertinence of the algorithm. Specific Embodiments

[0020] In the description of the present invention, it should also be noted that unless otherwise clearly defined and limited, the terms "set", "install", "connected", and "connected" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, and it can be the internal connection of two components. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific situations.

[0021] In this embodiment, a method for gain of radar signals includes the following steps:

[0022] S1: Obtain the GPR detection data bscan and perform preprocessing; preferably, the preprocessing includes zero adjustment, zero-offset correction, background elimination, and filtering. Specifically, the preprocessing process is implemented by existing methods, and no improvement is made here, so it will not be elaborated.

[0023] S2: Take the absolute value of all the values in bscan, and find the maximum value of the waveform data composed of the absolute values; that is to say, record each peak of the waveform data as the set of maximum values, and the obtained maximum value points are equivalent to the midpoints of each time window in the piecewise linear gain.

[0024] S3: Linearly connect each maximum value to form an extreme value envelope A(i), obtain the gain function by taking the inverse function of the extreme value envelope A(i), and multiply the original bscan by the gain function for amplification;

[0025] S4: Take the maximum value h of each row of absolute values max , connect them to obtain the function H(t), and perform Hilbert transform on H(t). Specifically, the Hilbert transform is a linear operator that generates a function with the same domain as the function, which can derive the analytic representation of the signal and extend the real signal to the plane.

[0026] Assume the signal expression is x(t) = A(t)cos(w0t + θ(t)), and substitute it into the analytic signal:

[0027]

[0028] Among them, is the complex carrier signal, A(t)e jθ(t) is the complex envelope,

[0029] |x(t)| = A(t)e jθ(t) = A(t)

[0030] The absolute value of the analytic signal is taken to obtain the envelope signal;

[0031] S5: Calculate the mean and variance of bscan, and the coefficient M is:

[0032] M = mean - 3 * std;

[0033] Among them, mean is the mean value and std is the variance,

[0034] Take the reciprocal of A(t), and then multiply by the coefficient M to obtain the gain function W m', the two-dimensional data is processed using this gain function. Specifically, the gain function obtained in this way can not only have targeted gain for a certain area, but also not amplify each signal indiscriminately. That is, envelope gain is added during the processing of ground penetrating radar signals, and the extreme value envelope is taken for each row of the bscan. After Hilbert transform, the gain function is obtained, and then the bscan is processed using this gain function to obtain a new bscan, preventing the indiscriminate amplification of all signals, having strong gain for the echo signals, improving the adaptability and pertinence of the algorithm, and being able to obtain good processing effects for different data, having high practical value and promotion value in the field of ground penetrating radar data processing.

[0035] Although the present invention has been described in detail with reference to the foregoing embodiments, for those skilled in the art, they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements for some of the technical features. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A radar signal gain method, characterized in that: The following steps are involved: S1: Obtain ground penetrating radar detection data bscan and perform preprocessing; S2: Take the absolute values ​​of all values ​​in bscan and find the maximum value of the waveform data composed of the absolute values; S3: Linearly connect each maximum value to form an extreme value envelope A(i), take the inverse function of the extreme value envelope A(i) to obtain a gain function, and multiply the original bscan by the gain function to amplify it; S4: Take the maximum value h of the absolute value of each row max , connect them to get the function H(t), perform Hilbert transform on H(t), assume that the signal expression is x(t)=A(t)cos(w0t+θ(t)), substitute into the analytical signal: in, is the complex carrier signal, A(t)e jθ(t) For complex envelope, |x(t)|=A(t)e jθ(t) =A(t) The absolute value of the analytical signal is taken to obtain the envelope signal; S5: Calculate the mean and variance of bscan, the coefficient M is: M = mean - 3 * std; Among them, mean is the average value, std is the variance, Take the inverse of A(t) and multiply it by the coefficient M to get the gain function W m ', use this gain function to process two-dimensional data.

2. The radar signal gain method according to claim 1, characterized in that: In step S1, the preprocessing includes zero point adjustment, zero bias correction, background elimination and filtering.

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