CN114079516A - DVOR air signal test analysis system based on unmanned aerial vehicle and ZYNQ - Google Patents
DVOR air signal test analysis system based on unmanned aerial vehicle and ZYNQ Download PDFInfo
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Abstract
A DVOR air signal test analysis system based on unmanned aerial vehicle and ZYNQ comprises: the data transmission module that connects gradually, protocol conversion module and unmanned aerial vehicle, the band pass filter that connects gradually, DVOR air signal preliminary treatment PL unit and DVOR air signal analysis and data storage PS unit in AD conversion module and the ZYNQ platform, the protocol conversion module still connects DVOR air signal analysis and data storage PS unit, power module connects unmanned aerial vehicle and is used for acquireing DC voltage and converts into 5V voltage, a power supply is used for providing, wherein, the data transmission module communicates with the host computer through first antenna, unmanned aerial vehicle acquires position and azimuth information through the third antenna, band pass filter acquires DVOR air signal through the second antenna. The invention has the advantages of low test cost, short time consumption, good expandability and strong transportability. The invention can store the DVOR baseband signal to the SD card according to the ground requirement for subsequent analysis.
Description
Technical Field
The invention relates to a DVOR air signal test analysis method. In particular to a DVOR air signal test analysis system based on an unmanned aerial vehicle and ZYNQ.
Background
As new airports in China increase day by day, the safe operation of the airport can not be separated from the normal operation of the navigation equipment, and higher requirements are provided for the performance and the safe operation of the navigation equipment.
Very high frequency omnidirectional beacons (VORs) are aviation short-range radio navigation devices specified by the international civil aviation organization and are the most popular aircraft landing guidance systems at present. It provides magnetic azimuth information for the aircraft relative to the VOR ground station, guiding the aircraft to fly along a predetermined course. According to the angle measurement principle, the airborne VOR needs to be matched with the VOR station for use, so that the stable operation of the VOR station is a prerequisite guarantee for realizing accurate angle measurement and positioning of the airplane. Therefore, VOR station signals need to be tested to evaluate their various indicators.
The existing DVOR air signal test system has the problems of large volume, large power consumption, high manufacturing cost, poor flexibility and the like. In order to solve the existing problems, an unmanned plane + ZYNQ architecture is provided for testing an aerial signal of a DVOR station and calculating to obtain a performance index of the tested station.
Disclosure of Invention
The invention aims to solve the technical problem of providing a DVOR air signal test analysis system based on an unmanned aerial vehicle and ZYNQ, which has the advantages of low test cost, short time consumption, good expandability and strong transportability and aims to overcome the defects of the prior art.
The technical scheme adopted by the invention is as follows: a DVOR air signal test analysis system based on unmanned aerial vehicle and ZYNQ comprises: the system comprises a data transmission module, a protocol conversion module and an unmanned aerial vehicle which are connected in sequence, wherein a band-pass filter, an AD conversion module and a DVOR air signal preprocessing PL unit and a DVOR air signal analysis and data storage PS unit in a ZYNQ platform which are connected in sequence, the protocol conversion module is also connected with the DVOR air signal analysis and data storage PS unit, a power supply module is connected with the unmanned aerial vehicle and used for acquiring direct current voltage and converting the direct current voltage into 5V voltage for providing a power supply, wherein the data transmission module is communicated with an upper computer through a first antenna, the unmanned aerial vehicle acquires position and orientation information through a third antenna, and the band-pass filter acquires the DVOR air signal through a second antenna.
The DVOR air signal testing and analyzing system based on the unmanned aerial vehicle and the ZYNQ fully utilizes the characteristics of small volume, light weight, low power consumption and cooperative work of ARM and FPGA software and hardware of the ZYNQ platform, acquires DVOR air signals through AD9361, improves algorithm speed by utilizing parallel operation of the FPGA in a PL part, and completes preprocessing of filtering, detecting, down-sampling and the like of the signals; abundant IP core resources of the PL part are fully utilized, and the difficulty of system development is reduced; the ARM part is mainly used for real-time processing, parameter analysis, control and the like of baseband data, and the measured parameters are downloaded to the ground through a protocol converter and a data transmission module to be displayed in real time. The cooperative work between the PS and the PL increases the stability and the speed of data transmission so as to optimize the whole system. The method provided by the invention has the advantages of low test cost, short time consumption, good expandability and strong transportability. And the invention can store the DVOR baseband signal to the SD card according to the ground requirement for subsequent analysis.
Drawings
FIG. 1 is a block diagram of a DVOR air signal test analysis system based on an unmanned aerial vehicle and ZYNQ according to the present invention;
FIG. 2 is a flow diagram of the preprocessing of DVOR air signals at a DVOR air signal processing PL unit in accordance with the present invention;
FIG. 3 is a flow chart of the solution of the 330Hz and 9960Hz modulation coefficients of the present invention;
FIG. 4 is a flowchart of the solution of the azimuth angle in the present invention;
fig. 5 is a flowchart of the identification code resolution in the present invention.
In the drawings
1: the data transmission module 2: protocol conversion module
3: unmanned aerial vehicle 4: power supply module
5: band-pass filter 6: AD conversion module
7: DVOR air signal preprocessing PL unit 8: DVOR air signal analysis and data storage PS unit
9: first antenna 10: second antenna
11: third antenna
Detailed Description
The following describes the system for testing and analyzing DVOR air signals based on the unmanned aerial vehicle and ZYNQ in detail with reference to the embodiments and the accompanying drawings.
As shown in fig. 1, the DVOR air signal test analysis system based on the unmanned aerial vehicle and the ZYNQ of the present invention includes: the device comprises a data transmission module 1, a protocol conversion module 2 and an unmanned aerial vehicle 3 which are connected in sequence, a band-pass filter (BPF)5, an AD conversion module 6, a DVOR air signal preprocessing PL unit 7 and a DVOR air signal analysis and data storage PS unit 8 in a ZYNQ platform which are connected in sequence, the protocol conversion module 2 is further connected with the DVOR air signal analysis and data storage PS unit 8, a power supply module 4 is connected with the unmanned aerial vehicle 3 and used for acquiring direct current voltage and converting the direct current voltage into 5V voltage and providing power supply, wherein the data transmission module 1 is communicated with an upper computer through a first antenna 9, the unmanned aerial vehicle 3 acquires position and orientation information through a third antenna 11, and the band-pass filter (BPF)5 acquires the DVOR air signal through a second antenna 10.
The data transmission module 1 has an air transmission rate of 2400bps, and is configured to send a command signal sent from the upper computer on the ground to the protocol conversion module 2, and send a test analysis result of the DVOR air signal received from the protocol conversion module 2 to the upper computer on the ground. In the embodiment of the invention, the data transmission module 1 can select a low-speed data transmission module E22 or SX 1278; the protocol conversion module 2 may adopt an STM32F407 module, a GDF32F407 module, or a CH32F407 module.
The protocol conversion module 2 is provided with 3 serial ports, wherein the first serial port is connected with the unmanned aerial vehicle 3 and used for acquiring position and orientation information from the unmanned aerial vehicle 3, the second serial port is connected with the data transmission module 1 and used for acquiring command signals sent by a ground upper computer from the data transmission module 1, the third serial port is connected with the DVOR air signal analysis and data storage PS unit 8 and used for sending the acquired position and orientation information and the command signals of the upper computer into the third serial port to be connected with the DVOR air signal analysis and data storage PS unit 8, and the DVOR air signal test analysis results received by the third serial port connected with the DVOR air signal analysis and data storage PS unit 8 are sent to the ground upper computer through the data transmission module 1.
The band-pass filter 5 filters signals except 108-138 MHz of the DVOR air signals acquired through the second antenna 10 to improve the quality of the received signals, the signals are sent to the AD conversion module 6, the AD conversion module 6 generates 40M samples/second I/Q two-path orthogonal data signals after performing radio frequency amplification, orthogonal down-conversion to 0.1MHz intermediate frequency, low-pass filtering and 12-bit AD conversion on the received DVOR air signals, and the I/Q two-path orthogonal data signals are sent to the DVOR air signal preprocessing PL unit 7. In the embodiment of the present invention, the AD conversion module 6 may select an AD9361, an AD9371, or an AD 9009.
As shown in fig. 2, in the present invention, the DVOR air signal preprocessing PL unit 7 demodulates the received I/Q two-way orthogonal data signals of 40M samples/sec, and includes sequentially performing:
1) performing low-pass filtering by an FIR LPF IP core with the passband cut-off frequency of 0.15 MHz;
2) extracting by 40 times to 1MHz, and then carrying out complex band-pass filtering by a BPF IP core with 0.1MHz central frequency and 30kHz bandwidth to remove the influence of local oscillator leakage;
3) carrying out envelope detection on two paths of DVOR baseband data by using two multiplier IP cores and a square root IP core under the sampling frequency of 1 MHz;
4) performing low-pass filtering on the DVOR baseband data of 1MHz through an FIR LPF IP core with the passband cut-off frequency of 11kHz, performing down-sampling on the DVOR baseband data to 40kHz again, and acquiring a direct current component of the DVOR baseband data under the frequency;
5) and the direct current component of the DVOR baseband data is sent to a DVOR air signal analysis and data storage PS unit 8 through an AXI bus, and the DVOR baseband data with the down-sampling frequency of 40kHz is sent to the DVOR air signal analysis and data storage PS unit 8 through a dual-port RAM buffer.
In the present invention, the DVOR air signal analyzing and data storing PS unit 8 processes the obtained DVOR baseband data with a down-sampling frequency of 40kHz and the dc component of the DVOR baseband data to obtain the corresponding parameters of the DVOR baseband signal: the method comprises the following steps of (1) downloading a 30Hz reference signal AM modulation coefficient, a 9960Hz subcarrier AM modulation coefficient, an azimuth angle and an identification code to an upper computer for real-time display through a protocol conversion module 2 and a data transmission module 1; and storing the DVOR baseband data to an SD card in ZYNQ according to ground requirements for subsequent analysis. Wherein the content of the first and second substances,
1) as shown in fig. 3, the obtaining of the AM modulation factor of the 30Hz reference signal includes:
(1.1) setting a 4000-Byte buffer area in a DVOR air signal analysis and data storage PS unit 8 to read DVOR baseband data by adopting a ping-pong structure, wherein the storage is performed once every 25ms and is equivalent to 2000 bytes;
(1.2) carrying out 120Hz IIR low-pass filtering on the DVOR baseband data at a sampling frequency of 40kHz to obtain a reference phase signal of 30Hz, and downsampling to a sampling frequency of 1 KHz; because the period of the 30Hz reference phase signal is 33.33ms, the maximum value max1 and the minimum value min1 can be obtained once every 50ms of the obtained 30Hz reference phase signal, and the maximum value max1 and the minimum value min1 can be obtained 10 times in 500 ms;
(1.3) substituting the maximum value max1 and the minimum value min1 obtained 10 times into the formula of the AM modulation factor:
Ma1＝(max1-min1)/(max1+min1)
respectively calculating the AM 1 of the 30Hz reference phase signal of every 50ms to obtain 10 modulation coefficients;
(1.4) averaging 10 modulation coefficients, and outputting the average value, namely the AM modulation coefficient of the reference signal of 30 Hz;
2) as shown in fig. 3, the obtaining of the AM modulation factor of the 9960Hz subcarrier includes:
(2.1) carrying out IIR (infinite impulse response) band-pass filtering on the DVOR baseband data with the center frequency of 9.96kHz and the bandwidth of 1.1kHz to obtain a 9960Hz subcarrier;
(2.2) adding the obtained 9960Hz subcarrier with the direct current component of the DVOR baseband data to obtain an envelope of the 9960Hz subcarrier, wherein the period of the 9960Hz subcarrier is 0.1ms, so that the maximum value max2 and the minimum value min2 can be obtained once every 25ms of the envelope of the 9960Hz subcarrier, and the maximum value max2 and the minimum value min2 can be obtained 20 times in 500 ms;
(2.3) substituting the maximum value max2 and the minimum value min2 obtained 20 times into the formula of the AM modulation factor:
Ma2＝(max2-min2)/(max2+min2)
respectively calculating AM 2 modulation coefficients of 9960Hz subcarriers every 25ms to obtain 20 modulation coefficients;
(2.4) averaging the 20 modulation coefficients and outputting the average value, namely the AM modulation coefficient of the 9960 subcarriers.
3) As shown in fig. 4, the obtaining of the azimuth angle includes:
(3.1) carrying out 120Hz IIR low-pass filtering on the DVOR baseband data to obtain a reference phase signal of 30 Hz;
(3.2) de-frequency modulating the 9960Hz frequency modulation subcarrier in the DVOR baseband data, specifically:
(3.2.1) carrying out IIR (infinite impulse response) band-pass filtering on the DVOR baseband data with the center frequency of 9960Hz and the bandwidth of 1100Hz to obtain a 9960Hz frequency modulation subcarrier;
(3.2.2) obtaining a complex signal through 41-order FIR Hilbert filtering transformation;
(3.2.3) generating two signals including a phase difference by trigonometric function transformation on the complex signal;
(3.2.4) carrying out frequency discrimination on the result of the trigonometric function conversion by using an extended arctangent Atan2 phase discriminator to obtain a variable phase signal of 30Hz containing high-frequency noise influence;
(3.2.5) obtaining a variable phase signal of 30Hz without the influence of high frequency noise by low pass filtering processing of 120Hz on the variable phase signal of 30Hz containing the influence of high frequency noise;
(3.3) performing phase discrimination on the 30Hz reference phase signal and the 30Hz variable phase signal without the influence of high-frequency noise, which specifically comprises the following steps:
(3.3.1) respectively carrying out down-sampling with the frequency of 1kHz on the 30Hz reference phase signal and the 30Hz variable phase signal;
(3.3.2) respectively obtaining complex signals of the 30Hz reference phase signal and the 30Hz variable phase signal through 41-order FIR Hilbert filtering transformation on the 30Hz reference phase signal and the 30Hz variable phase signal at the sampling frequency of 1 kHz;
(3.3.3) carrying out phase discrimination on the filtered and transformed complex signals of the 30Hz reference phase signal and the 30Hz variable phase signal by utilizing an extended arctan Atan2 function to obtain a phase difference with the range of-180 degrees;
(3.3.4) because the navigation azimuth information provided by the DVOR station is 0-360 degrees, the obtained phase difference of 0-180 degrees corresponds to the navigation azimuth of 0-180 degrees provided by the DVOR station, and the obtained phase difference of-180 degrees-0 degrees plus 360 degrees is the navigation azimuth of 180-360 degrees provided by the corresponding DVOR station, namely the required azimuth.
4) As shown in fig. 5, the obtaining of the identification code includes:
(4.1) carrying out IIR low-pass filtering (LPF) with the cutoff frequency of 1020Hz and band-pass filtering (BPF) with the center frequency of 1020Hz on the DVOR baseband data to obtain an identification signal of 1020 Hz;
(4.2) carrying out envelope detection and IIR (infinite impulse response) pass filtering (LPF) with the passband cut-off frequency of 10Hz on the obtained identification signal of 1020Hz, thereby obtaining a baseband signal of the Morse code corresponding to the DVOR station identification code;
(4.3) averaging the baseband signals of the obtained Morse codes to be used as a threshold value to carry out 0 or 1 judgment, and carrying out dot-and-dash conversion according to the number of 0 or 1 to obtain the corresponding Morse codes, namely the identification codes of the DVOR station.
In order to analyze the obtained DVOR baseband data on the ground, the invention needs an SD card which stores the DVOR baseband data in ZYNQ according to the time length. Adding a xilffs base in the XilinxSDK, using a FAT file system module, using f _ open, f _ write and f _ close functions to read and write files, and storing DVOR baseband data into an SD card according to ground requirements.
Claims (10)
1. The utility model provides a DVOR aerial signal test analytic system based on unmanned aerial vehicle and ZYNQ which characterized in that, including: the system comprises a data transmission module (1), a protocol conversion module (2) and an unmanned aerial vehicle (3) which are connected in sequence, a band-pass filter (5), an AD conversion module (6) and a DVOR air signal preprocessing PL unit (7) and a DVOR air signal analysis and data storage PS unit (8) which are connected in sequence in a ZYNQ platform, wherein the protocol conversion module (2) is further connected with the DVOR air signal analysis and data storage PS unit (8), a power supply module (4) is connected with the unmanned aerial vehicle (3) and used for acquiring direct current voltage and converting the direct current voltage into 5V voltage for providing a power supply, the data transmission module (1) is communicated with an upper computer through a first antenna (9), the unmanned aerial vehicle (3) acquires position and azimuth information through a third antenna (11), and the band-pass filter (5) acquires the DVOR air signal through a second antenna (10).
2. The airborne signal testing and analyzing system for the DVOR based on the drone and the ZYNQ of claim 1, wherein the data transmission module (1) has an airborne transmission rate of 2400bps, and is configured to send the command signal sent from the upper computer on the ground to the protocol conversion module (2), and send the result of the DVOR airborne signal testing and analyzing received from the protocol conversion module (2) to the upper computer on the ground.
3. The drone and ZYNQ based DVOR air signal test analysis system of claim 1, it is characterized in that the protocol conversion module (2) is provided with 3 serial ports, wherein, the first serial port is connected with the unmanned aerial vehicle (3), used for obtaining position and orientation information from the unmanned aerial vehicle (3), the second serial port is connected with the data transmission module (1), used for obtaining a command signal sent by a ground upper computer from the data transmission module (1), a third serial port is connected with a DVOR air signal analysis and data storage PS unit (8), used for sending the obtained position and orientation information and command signals of the upper computer into a third serial port connected DVOR air signal analysis and data storage PS unit (8), and the result of the DVOR air signal test analysis received from the third serial port connected DVOR air signal analysis and data storage PS unit (8) is sent to the upper computer on the ground through the data transmission module (1).
4. The aerial DVOR signal test and analysis system based on the unmanned aerial vehicle and the ZYNQ according to claim 1, wherein the band-pass filter (5) filters out signals except 108-138 MHz from the aerial DVOR signal acquired through the second antenna (10), and sends the signals to an AD conversion module (6), and the AD conversion module (6) generates two paths of I/Q orthogonal data signals of 40M samples/sec after performing radio frequency amplification, orthogonal down-conversion to 0.1MHz intermediate frequency, low-pass filtering, and 12bit AD conversion on the received aerial DVOR signal, and sends the signals to the PL unit (7) for preprocessing the aerial DVOR signal.
5. The system for testing and analyzing the DVOR air signals based on the unmanned aerial vehicle and the ZYNQ according to claim 1, wherein the DVOR air signal preprocessing PL unit (7) demodulates the received I/Q two-way orthogonal data signals of 40M samples/sec, and comprises the following steps:
1) performing low-pass filtering by an FIR LPF IP core with the passband cut-off frequency of 0.15 MHz;
2) extracting by 40 times to 1MHz, and then carrying out complex band-pass filtering by a BPF IP core with 0.1MHz central frequency and 30kHz bandwidth to remove the influence of local oscillator leakage;
3) carrying out envelope detection on two paths of DVOR baseband data by using two multiplier IP cores and a square root IP core under the sampling frequency of 1 MHz;
4) performing low-pass filtering on the DVOR baseband data of 1MHz through an FIR LPF IP core with the passband cut-off frequency of 11kHz, performing down-sampling on the DVOR baseband data to 40kHz again, and acquiring a direct current component of the DVOR baseband data under the frequency;
5) and the direct current component of the DVOR baseband data is sent to a DVOR air signal analysis and data storage PS unit (8) through an AXI bus, and the DVOR baseband data with the down-sampling frequency of 40kHz is sent to the DVOR air signal analysis and data storage PS unit (8) through a dual-port RAM buffer.
6. The system according to claim 1, wherein the DVOR airborne signal analysis and data storage PS unit (8) processes the obtained DVOR baseband data with a down-sampling frequency of 40kHz and the dc component of the DVOR baseband data to obtain the corresponding parameters of the DVOR baseband signal: the method comprises the steps of measuring the AM modulation coefficient of a 30Hz reference signal, the AM modulation coefficient of a 9960Hz subcarrier, an azimuth angle and an identification code, and downloading the parameters to an upper computer through a protocol conversion module (2) and a data transmission module (1) for real-time display; and storing the DVOR baseband data to an SD card in ZYNQ according to ground requirements for subsequent analysis.
7. The UAV and ZYNQ based DVOR air signal test analysis system of claim 6,
(1) the obtaining of the AM modulation coefficient of the 30Hz reference signal comprises the following steps:
(1.1) setting a 4000Byte buffer area in a DVOR air signal analysis and data storage PS unit (8) to read DVOR baseband data by adopting a ping-pong structure, wherein the storage is performed once every 25ms and is equivalent to 2000 Byte;
(1.2) carrying out 120Hz IIR low-pass filtering on the DVOR baseband data at a sampling frequency of 40kHz to obtain a reference phase signal of 30Hz, and downsampling to a sampling frequency of 1 KHz; solving a maximum value max1 and a minimum value min1 once every 50ms for the obtained 30Hz reference phase signal, and solving a maximum value max1 and a minimum value min 110 times in 500 ms;
(1.3) substituting the maximum value max1 and the minimum value min1 obtained 10 times into the formula of the AM modulation factor:
Ma1＝(max1-min1)/(max1+min1)
respectively calculating the AM 1 of the 30Hz reference phase signal of every 50ms to obtain 10 modulation coefficients;
(1.4) averaging 10 modulation coefficients, and outputting the average value, namely the AM modulation coefficient of the reference signal of 30 Hz;
(2) the acquisition of the 9960Hz subcarrier AM modulation coefficient comprises the following steps:
(2.1) carrying out IIR (infinite impulse response) band-pass filtering on the DVOR baseband data with the center frequency of 9.96kHz and the bandwidth of 1.1kHz to obtain a 9960Hz subcarrier;
(2.2) adding the obtained 9960Hz subcarrier with the direct current component of the DVOR baseband data to obtain an envelope of the 9960Hz subcarrier; solving a maximum value max2 and a minimum value min2 once every 25ms of an envelope of a 9960Hz subcarrier, and solving a maximum value max2 and a minimum value min2 20 times in 500 ms;
(2.3) substituting the maximum value max2 and the minimum value min2 obtained 20 times into the formula of the AM modulation factor:
Ma2＝(max2-min2)/(max2+min2)
respectively calculating AM 2 modulation coefficients of 9960Hz subcarriers every 25ms to obtain 20 modulation coefficients;
(2.4) averaging the 20 modulation coefficients and outputting the average value, namely the AM modulation coefficient of the 9960 subcarriers.
8. The drone and ZYNQ based DVOR airborne signal test analysis system of claim 6, wherein said acquisition of azimuth angles comprises:
(1) carrying out 120Hz IIR low-pass filtering on the DVOR baseband data to obtain a reference phase signal of 30 Hz;
(2) the method comprises the following steps of performing frequency demodulation on 9960Hz frequency modulation subcarriers in DVOR baseband data, specifically:
(2.1) carrying out IIR (infinite impulse response) band-pass filtering on the DVOR baseband data with the center frequency of 9960Hz and the bandwidth of 1100Hz to obtain a 9960Hz frequency modulation subcarrier;
(2.2) obtaining a complex signal through 41-order FIR Hilbert filtering transformation;
(2.3) generating two signals containing a phase difference by using trigonometric function transformation on the complex signals;
(2.4) carrying out frequency discrimination on the result of the trigonometric function conversion by using an extended arctangent Atan2 phase discriminator to obtain a variable phase signal of 30Hz containing high-frequency noise influence;
(2.5) obtaining a variable phase signal of 30Hz without the influence of high-frequency noise by low-pass filtering processing of 120Hz on the variable phase signal of 30Hz with the influence of high-frequency noise;
(3) the phase discrimination is performed on the 30Hz reference phase signal and the 30Hz variable phase signal without the influence of high-frequency noise, and specifically comprises the following steps:
(3.1) respectively carrying out down-sampling with the frequency of 1kHz on the 30Hz reference phase signal and the 30Hz variable phase signal;
(3.2) respectively obtaining complex signals of the 30Hz reference phase signal and the 30Hz variable phase signal through 41-order FIR Hilbert filtering transformation on the 30Hz reference phase signal and the 30Hz variable phase signal at the sampling frequency of 1 kHz;
(3.3) carrying out phase discrimination on the filtered and transformed complex signals of the 30Hz reference phase signal and the 30Hz variable phase signal by utilizing an extended arctangent Atan2 function to obtain a phase difference in a range of-180 degrees;
and (3.4) because the navigation azimuth information provided by the DVOR station is 0-360 degrees, the obtained phase difference of 0-180 degrees corresponds to the navigation azimuth of 0-180 degrees provided by the DVOR station, and the obtained phase difference of-180-0 degrees plus 360 degrees is the navigation azimuth of 180-360 degrees provided by the corresponding DVOR station, namely the required azimuth angle.
9. The drone and ZYNQ based DVOR air signal test analysis system of claim 6, wherein the obtaining of the identification code comprises:
(1) carrying out IIR low-pass filtering with the cutoff frequency of 1020Hz and band-pass filtering with the center frequency of 1020Hz on the DVOR baseband data to obtain an identification signal of 1020 Hz;
(2) carrying out envelope detection and IIR (infinite impulse response) pass filtering with the passband cut-off frequency of 10Hz on the obtained 1020Hz identification signal so as to obtain a baseband signal of a Morse code corresponding to the DVOR station identification code;
(3) averaging the baseband signals of the obtained Morse codes to be used as a threshold value to carry out 0 or 1 judgment, and carrying out dot-and-dash conversion according to the number of 0 or 1 to obtain the corresponding Morse codes, namely the identification codes of the DVOR station.
10. The airborne signal testing and analyzing system of claim 6, wherein the xilffs base is added to the XilinxSDK, the files are read and written using f _ open, f _ write, f _ close functions, and the DVOR baseband data is saved to the SD card according to ground requirements using a FAT file system module.
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