A high-precision radar transmitter frequency testing method

Abstract

The application discloses a high-precision radar transmitter frequency test method. The method comprises the following steps: performing zero padding operation on original data; based on the zero-padded data, a first frequency estimation value is obtained by using a classical spectrum estimation method; based on the first frequency estimation value, a second frequency estimation value is obtained by using a parameterized spectrum estimation method; and the first frequency estimation value and the second frequency estimation value are averaged to obtain a final frequency estimation value. The method realizes high-precision frequency estimation by averaging the original data multiple times.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of radar transmitter frequency measurement, in particular to a high-precision radar transmitter frequency test method. BACKGROUND

[0002] The existing radar transmitter frequency measurement method mainly uses the collected data to estimate by using the classical spectrum estimation method to complete the frequency measurement of the measured signal. Although this method has fast operation speed, the measurement precision is poor, especially for pulse radar, because the length of the original collected data is short, the spectrum precision obtained by using the classical spectrum estimation method is poor, and high-precision frequency measurement cannot be completed. SUMMARY

[0003] The purpose of the present application is to provide a high-precision radar transmitter frequency test method to solve the problem of low radar transmitter frequency measurement precision.

[0004] To achieve the above purpose, the present application provides the following scheme:

[0005] A high-precision radar transmitter frequency test method, comprising:

[0006] Zero padding operation is performed on the original data; the original data is the time domain data of the collected transmitter transmitted signal;

[0007] Based on the zero-padded data, a classical spectrum estimation method is used to obtain a first frequency estimation value; the classical spectrum estimation method includes direct method, indirect method, Bartlett method and Welch method;

[0008] Based on the first frequency estimation value, a parameterized spectrum estimation method is used to obtain a second frequency estimation value;

[0009] The first frequency estimation value and the second frequency estimation value are averaged to obtain a final frequency estimation value.

[0010] Optionally, the zero padding operation on the original data specifically includes:

[0011] Zero padding is performed at the rear of the original data, and the length of the zero padding is n / 2, n being the length of the original data.

[0012] Optionally, the classical spectrum estimation method is used to obtain the first frequency estimation value based on the zero-padded data, specifically including:

[0013] The classical spectrum estimation method is used to perform spectrum transformation on the zero-padded data;

[0014] The frequency corresponding to the highest peak value in the spectrum is determined as the first frequency estimation value.

[0015] Optionally, the second frequency estimation value is obtained based on the zero-padded data by using a parameterized spectrum estimation method, and specifically includes:

[0016] The spectrum parameters are initialized based on the first frequency estimation value to obtain an initial frequency estimation value;

[0017] The Bayesian iteration method is used to perform multiple iterations on each initial frequency estimation value to obtain an iterative frequency estimation value; the number of iterations is equal to the length of the original data;

[0018] The second frequency estimation value is calculated based on the iterative frequency estimation value.

[0019] The application further provides a high-precision radar transmitter frequency test system, which comprises:

[0020] A zero-padded module is configured to perform a zero-padding operation on original data; the original data is time domain data of a transmitter signal collected;

[0021] A first frequency estimation value determination module is configured to obtain a first frequency estimation value based on the zero-padded data by using a classical spectrum estimation method; the classical spectrum estimation method includes a direct method, an indirect method, a Bartlett method and a Welch method;

[0022] A second frequency estimation value determination module is configured to obtain a second frequency estimation value based on the first frequency estimation value by using a parameterized spectrum estimation method;

[0023] A final frequency estimation value determination module is configured to average the first frequency estimation value and the second frequency estimation value to obtain a final frequency estimation value

[0024] Optionally, the zero-padding operation on the original data specifically includes:

[0025] The original data is zero-padded at the rear end, and the length of the zero-padded data is n / 2, wherein n is the length of the original data.

[0026] Optionally, the first frequency estimation value determination module specifically includes:

[0027] A spectrum transformation unit is configured to perform spectrum transformation on the zero-padded data by using a classical spectrum estimation method;

[0028] A first frequency estimation value determination unit is configured to determine the frequency corresponding to the highest peak in the spectrum as the first frequency estimation value.

[0029] Optionally, the second frequency estimation value determination module specifically includes:

[0030] An initial frequency estimation value determination unit is configured to initialize a spectrum parameter based on the first frequency estimation value to obtain an initial frequency estimation value.

[0031] An iteration unit is configured to perform multiple iterations on each of the initial frequency estimation values by using a Bayesian iteration method to obtain an iterated frequency estimation value, and the number of iterations is equal to the length of the original data.

[0032] A second frequency estimation value calculation unit is configured to calculate a second frequency estimation value based on the iterated frequency estimation value.

[0033] According to the specific embodiments of the present application, the following technical effects are disclosed.

[0034] The high-precision radar transmitter frequency test method provided by the present application comprises the following steps: performing a zero padding operation on the original data; obtaining a first frequency estimation value by using a classical spectrum estimation method based on the zero-padded data; obtaining a second frequency estimation value by using a parameterized spectrum estimation method based on the first frequency estimation value; and obtaining a final frequency estimation value by averaging the first frequency estimation value and the second frequency estimation value. The present application realizes high-precision frequency estimation by using the method of multiple spectrum estimation and averaging of the original data. BRIEF DESCRIPTION OF DRAWINGS

[0035] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed in the embodiments. Obviously, the drawings described below are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0036] Figure 1 The flowchart of the high-precision radar transmitter frequency test method provided by the present application. DETAILED DESCRIPTION

[0037] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only some embodiments of the present application, not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0038] The purpose of the present application is to provide a high-precision radar transmitter frequency test method to solve the problem of low accuracy of radar transmitter frequency measurement.

[0039] In order to make the above-mentioned purposes, features and advantages of the present application more apparent and easy to understand, the present application will be further described in detail below with reference to the drawings and specific embodiments.

[0040] Embodiment one

[0041] As Figure 1 shown, the embodiment provides a high-precision radar transmitter frequency test method, which comprises the following steps:

[0042] Step 101: zero padding operation is performed on the original data; the original data is the time domain data of the collected transmitter transmitted signal.

[0043] Suppose the collected original data is fd1=[d1, d2, … dn]; since the length of the original data is n, in order to improve the accuracy of frequency measurement, zero padding is performed at the rear of the original data, and the length of the zero padding is n / 2; the zero-padded data fd1_0=[d1, d2, … dn, 0, 0, … 0], wherein the total length of the data 0 at the rear is n / 2.

[0044] Step 102: based on the zero-padded data, a first frequency estimation value is obtained by using a classical spectrum estimation method; the classical spectrum estimation method includes direct method, indirect method, Bartlett method and Welch method.

[0045] The classical spectrum estimation method is used to perform spectrum transformation on the data fd1_0, and the frequency corresponding to the highest point peak in the spectrum output is taken as the first frequency estimation value f1.

[0046] Step 103: based on the first frequency estimation value, a second frequency estimation value is obtained by using a parameterized spectrum estimation method. Specifically, it includes:

[0047] (1) initialize the spectrum parameter estimation, and the initial frequency estimation value f2_m=a1*d1+a2*d2+a3*d3+…an*dn; wherein the initial values of a1, a2…an are set to f1 / 1, f1 / 2, …, f1 / n.

[0048] (2) for the initial frequency estimation value, multiple iterations are performed by using the Bayesian iteration method, and the iteration formula is as follows: ai_k=(i / 5+(k-5) / 5)*ai. Wherein ai_k represents the value of ai after the kth iteration. After each iteration of all parameters, an iterated frequency estimation value f2_k is obtained, and the iteration number is equal to the length n of the original data.

[0049] (3) the second frequency estimation value f2 is calculated by using the formula f2=(f2_1+f2_2+…+f2_n) / n.

[0050] Step 104: the first frequency estimation value and the second frequency estimation value are averaged to obtain a final frequency estimation value.

[0051] The final frequency estimate f = (f1 + f2) / 2.

[0052] Embodiment two

[0053] In order to perform the method corresponding to the above-mentioned embodiment one, to realize the corresponding function and technical effect, the following provides a high-precision radar transmitter frequency test system.

[0054] The system comprises:

[0055] The zero padding module is configured to perform a zero padding operation on the original data, wherein the original data is time domain data of a transmitter signal collected by the radar transmitter frequency test system;

[0056] The first frequency estimate determination module is configured to obtain a first frequency estimate based on the zero-padded data by using a classical spectrum estimation method, wherein the classical spectrum estimation method comprises a direct method, an indirect method, a Bartlett method, and a Welch method;

[0057] The second frequency estimate determination module is configured to obtain a second frequency estimate based on the first frequency estimate by using a parameterized spectrum estimation method.

[0058] The final frequency estimate determination module is configured to average the first frequency estimate and the second frequency estimate to obtain a final frequency estimate.

[0059] The first frequency estimate determination module comprises:

[0060] The spectrum transformation unit is configured to perform a spectrum transformation on the zero-padded data by using the classical spectrum estimation method.

[0061] The first frequency estimate determination unit is configured to determine a frequency corresponding to a highest point peak in the spectrum as the first frequency estimate.

[0062] The second frequency estimate determination module comprises:

[0063] The initial frequency estimate determination unit is configured to initialize a spectrum parameter based on the first frequency estimate to obtain an initial frequency estimate.

[0064] The iteration unit is configured to perform a plurality of iterations on each of the initial frequency estimates by using a Bayesian iteration method to obtain an iterated frequency estimate, wherein the number of iterations is equal to the length of the original data.

[0065] The second frequency estimate calculation unit is configured to calculate the second frequency estimate based on the iterated frequency estimate.

[0066] The various embodiments described in this specification are implemented in a progressive manner, each embodiment focusing on the differences from other embodiments, and the same or similar parts between embodiments can be mutually referred to. For the system disclosed in the embodiments, since it corresponds to the method disclosed in the embodiments, the description is relatively simple, and the relevant parts can be referred to the description of the method.

[0067] The principles and implementation manners of the application are described by using specific examples in this specification. The above description of the embodiments is only used to help understand the method of the application and its core idea. The described embodiments are only some of the embodiments of the application, not all the embodiments. Based on the embodiments in the application, all other embodiments obtained by those skilled in the art without creative labor fall within the protection scope of the application.

Claims

1. A high-precision radar transmitter frequency testing method, characterized in that, include: Zero-padding is performed on the original data; the original data is the time-domain data of the transmitter signal collected from the transmitter. Based on the zero-padding data, the first frequency estimate is obtained using the classical spectrum estimation method. The classical spectrum estimation methods include: direct method, indirect method, Bartlett method, and Welch method; Based on the first frequency estimate, a second frequency estimate is obtained using a parameterized spectrum estimation method; The first frequency estimate and the second frequency estimate are averaged to obtain the final frequency estimate.

2. The high-precision radar transmitter frequency testing method according to claim 1, characterized in that, The zero-padding operation on the original data specifically includes: The original data is padded with zeros, and the length of the zeros is n / 2, where n is the length of the original data.

3. The high-precision radar transmitter frequency testing method according to claim 1, characterized in that, The first frequency estimate is obtained by using the zero-padding data and a classical spectrum estimation method, specifically including: The zero-padded data is subjected to spectral transformation using a classical spectral estimation method. The frequency corresponding to the highest peak in the spectrum is determined as the first frequency estimate.

4. The high-precision radar transmitter frequency testing method according to claim 1, characterized in that, The second frequency estimate is obtained by using a parameterized spectrum estimation method based on the zero-padding data, specifically including: The spectrum parameters are initialized based on the first frequency estimate to obtain the initial frequency estimate; The initial frequency estimates are iterated multiple times using a Bayesian iterative method to obtain the iterated frequency estimates; the number of iterations is equal to the length of the original data. The second frequency estimate is calculated based on the frequency estimate obtained after the iteration.

5. A high-precision radar transmitter frequency testing system, characterized in that, include: The zero-padding module is used to pad the original data with zeros; the original data is the time-domain data of the transmitter's transmitted signal. The first frequency estimate determination module is used to obtain the first frequency estimate based on the zero-padding data using the classical spectrum estimation method. The classical spectrum estimation methods include: direct method, indirect method, Bartlett method, and Welch method; The second frequency estimate determination module is used to obtain a second frequency estimate based on the first frequency estimate using a parameterized spectrum estimation method. The final frequency estimate determination module is used to average the first frequency estimate and the second frequency estimate to obtain the final frequency estimate.

6. The high-precision radar transmitter frequency testing system according to claim 5, characterized in that, The zero-padding operation on the original data specifically includes: The original data is padded with zeros, and the length of the zeros is n / 2, where n is the length of the original data.

7. The high-precision radar transmitter frequency testing system according to claim 5, characterized in that, The first frequency estimation value determination module specifically includes: The spectrum transformation unit is used to perform spectrum transformation on the zero-padded data using classical spectrum estimation methods. The first frequency estimation unit is used to determine the frequency corresponding to the highest peak in the spectrum as the first frequency estimation value.

8. The high-precision radar transmitter frequency testing system according to claim 5, characterized in that, The second frequency estimation value determination module specifically includes: An initial frequency estimate determination unit is used to initialize the spectrum parameters based on the first frequency estimate to obtain an initial frequency estimate. An iterative unit is used to iterate each of the initial frequency estimates multiple times using a Bayesian iterative method to obtain the iterated frequency estimates; the number of iterations is equal to the length of the original data. The second frequency estimation calculation unit is used to calculate the second frequency estimate based on the iterated frequency estimate.

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