CN114079516B - 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, comprising: the system comprises a data transmission module, a protocol conversion module and an unmanned aerial vehicle which are sequentially connected, wherein the data transmission module, the protocol conversion module and the unmanned aerial vehicle are sequentially connected, a band-pass filter, an AD conversion module and a DVOR air signal preprocessing PL unit, a DVOR air signal analysis and data storage PS unit in a ZYNQ platform are sequentially connected, the protocol conversion module is also connected with the DVOR air signal analysis and data storage PS unit, the power module is connected with the unmanned aerial vehicle and is used for obtaining direct-current voltage and converting the direct-current voltage into 5V voltage and providing power, the data transmission module is communicated with an upper computer through a first antenna, the unmanned aerial vehicle obtains position and azimuth information through a third antenna, and the band-pass filter obtains DVOR air signals through a second antenna. The invention has the advantages of low test cost, short time consumption, good expandability and strong portability. The invention can save 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 unmanned aerial vehicle and ZYNQ.
Background
As new airports in China are increasingly increased, the safe operation of the airports is not separated from the normal operation of the navigation equipment, and the performance and the safe operation of the navigation equipment are required to be higher.
Very high frequency omni-directional beacons (VORs) are aviation short range radio navigation devices prescribed by the international civil aviation organization, and are currently the most common aircraft landing guidance systems in many countries. It provides the aircraft with magnetic azimuth information relative to the VOR ground table, guiding the aircraft along a predetermined course. According to the angle measurement principle, the airborne VOR needs to be matched with the VOR station, so that the stable operation of the VOR station is a precondition guarantee for realizing accurate angle measurement and positioning of the airplane. The VOR station signal needs to be tested to evaluate its various metrics.
The existing DVOR air signal testing system has the problems of large volume, high power consumption, high manufacturing cost, poor flexibility and the like. In order to solve the existing problems, a 'unmanned plane+ZYNQ' architecture is provided for testing DVOR station aerial signals and calculating to obtain the performance index of the tested station.
Disclosure of Invention
The invention aims to overcome the defects of the prior art, and provides a DVOR air signal test analysis system with low test cost, short time consumption, good expandability and strong portability and based on unmanned aerial vehicles and ZYNQ.
The technical scheme adopted by the invention is as follows: a DVOR air signal test analysis system based on unmanned aerial vehicle and ZYNQ, comprising: the system comprises a data transmission module, a protocol conversion module and an unmanned aerial vehicle which are sequentially connected, wherein the data transmission module, the protocol conversion module and the unmanned aerial vehicle are sequentially connected, a band-pass filter, an AD conversion module and a DVOR air signal preprocessing PL unit, a DVOR air signal analysis and data storage PS unit in a ZYNQ platform are sequentially connected, the protocol conversion module is also connected with the DVOR air signal analysis and data storage PS unit, the power module is connected with the unmanned aerial vehicle and is used for acquiring direct current voltage and converting the direct current voltage into 5V voltage and providing power, the data transmission module is communicated with an upper computer through a first antenna, the unmanned aerial vehicle acquires position and azimuth information through a third antenna, and the band-pass filter acquires DVOR air signals through a second antenna.
According to the DVOR air signal test analysis system based on the unmanned aerial vehicle and the ZYNQ, provided by the invention, the characteristics of small size, light weight, low power consumption and cooperative work of ARM and FPGA software and hardware of the ZYNQ platform are fully utilized, the DVOR air signal is acquired through AD9361, the algorithm speed is improved by utilizing parallel operation of the FPGA in the PL part, and the preprocessing such as signal filtering, detection, downsampling and the like is completed; the IP core resources rich in 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 for real-time display through the protocol converter and the data transmission module. The cooperation between PS and PL increases the stability and rate of data transmission to optimize the overall system. The method provided by the invention has the advantages of low test cost, short time consumption, good expandability and strong portability. In addition, the invention can save 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 a drone and ZYNQ of the present invention;
FIG. 2 is a flow chart of the DVOR air signal pre-processing in the DVOR air signal processing PL unit in accordance with the present invention;
FIG. 3 is a flow chart of the resolution of the 330Hz and 9960Hz modulation coefficients in the present invention;
FIG. 4 is a flow chart of the azimuth calculation in the present invention;
fig. 5 is a flowchart of the resolution of the identification code in the present invention.
In the figure
1: 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 unmanned aerial vehicle and ZYNQ-based DVOR air signal test analysis system of the present invention is described in detail below with reference to the examples and figures.
As shown in fig. 1, the DVOR air signal test analysis system based on the unmanned aerial vehicle and the ZYNQ of the invention comprises: the system comprises a data transmission module 1, a protocol conversion module 2 and an unmanned aerial vehicle 3 which are sequentially connected, wherein a band-pass filter (BPF) 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 in a ZYNQ platform are sequentially connected, the protocol conversion module 2 is also 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 is used for obtaining direct-current voltage and converting the direct-current voltage into 5V voltage for providing power, the data transmission module 1 is communicated with an upper computer through a first antenna 9, the unmanned aerial vehicle 3 obtains position and azimuth information through a third antenna 11, and the band-pass filter (BPF) 5 obtains DVOR air signals through a second antenna 10.
The data transmission module 1 has an air transmission rate of 2400bps and is used for sending command signals sent from an upper computer on the ground to the protocol conversion module 2 and sending DVOR air signal test analysis results received from the protocol conversion module 2 to the upper computer on the ground. In the embodiment of the present invention, the data transmission module 1 may select a low-speed data transmission module E22 or SX1278; the protocol conversion module 2 can adopt an STM32F407 module or 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 is used for acquiring position and azimuth information from the unmanned aerial vehicle 3, the second serial port is connected with the data transmission module 1 and is used for acquiring command signals sent by an upper computer on the ground 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 is used for sending the acquired position and azimuth information and the command signals of the upper computer to the third serial port and is connected with the DVOR air signal analysis and data storage PS unit 8, and the test analysis result of the DVOR air signal received from the third serial port and the 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.
The band-pass filter 5 filters signals except 108-138 MHz from 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 performs radio frequency amplification, quadrature down-conversion to 0.1MHz intermediate frequency, low-pass filtering, and then 12bit AD conversion to generate two paths of quadrature data signals of 40M samples/s, and the two paths of quadrature 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 AD9361, or AD9371 or AD9009.
As shown in fig. 2, in the present invention, the DVOR air signal preprocessing PL unit 7 demodulates the received 40M samples/second I/Q two-way quadrature data signal, which includes:
1) Low-pass filtering is carried out through an FIR LPF IP core with the passband cut-off frequency of 0.15 MHz;
2) Extracting 40 times to 1MHz, and performing complex band pass filtering to remove the influence of local oscillator leakage through a BPF IP core with 0.1MHz center frequency and 30kHz bandwidth;
3) Envelope detection is carried out on two paths of DVOR baseband data by utilizing two multiplier IP cores and a square root IP core under the sampling frequency of 1 MHz;
4) The method comprises the steps of carrying out low-pass filtering on DVOR baseband data of 1MHz through an FIR LPF IP core with a passband cut-off frequency of 11kHz, carrying out downsampling frequency on the DVOR baseband data to 40kHz again, and obtaining direct current components of the DVOR baseband data under the frequency;
5) 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 downsampling frequency of 40kHz is sent to the DVOR air signal analysis and data storage PS unit 8 through a dual-port RAM cache.
In the invention, the DVOR air signal analysis and data storage PS unit 8 processes the obtained DVOR baseband data with the downsampling frequency of 40kHz and the direct current component of the DVOR baseband data to obtain corresponding parameters of the DVOR baseband signal: the method comprises the steps of (1) transmitting a 30Hz reference signal AM modulation factor, a 9960Hz subcarrier AM modulation factor, an azimuth angle and an identification code to an upper computer for real-time display by a protocol conversion module 2 and a data transmission module 1; and saving the DVOR baseband data to an SD card in ZYNQ according to the ground requirement for subsequent analysis. Wherein,
1) As shown in fig. 3, the obtaining of the AM modulation factor of the 30Hz reference signal includes:
(1.1) a buffer area with 4000 Bytes is arranged in a DVOR air signal analysis and data storage PS unit 8, DVOR baseband data is read by adopting a ping-pong structure, and the buffer area is stored once every 25ms and is equivalent to 2000 Bytes;
(1.2) performing 120Hz IIR low-pass filtering on DVOR baseband data at a sampling frequency of 40kHz to obtain a 30Hz reference phase signal, and downsampling to a sampling frequency of 1 KHz; since the period of the 30Hz reference phase signal is 33.33ms, the maximum value max1 and the minimum value min1 can be obtained for every 50ms for the obtained 30Hz reference phase signal, and the maximum value max1 and the minimum value min1 can be obtained for 10 times for 500ms in total;
(1.3) substituting the obtained 10 times maximum value max1 and minimum value min1 into the formula of the AM modulation factor:
Ma1＝(max1-min1)/(max1+min1)
respectively calculating the AM modulation coefficients Ma1 of the 30Hz reference phase signals of every 50ms to obtain 10 modulation coefficients;
(1.4) taking an average value of the 10 modulation coefficients, and outputting the average value, namely, the 30Hz reference signal AM modulation coefficient;
2) As shown in fig. 3, the acquisition of the AM modulation coefficient of the 9960Hz subcarrier includes:
(2.1) acquiring 9960Hz subcarrier of DVOR baseband data through IIR band-pass filtering with the center frequency of 9.96kHz and the bandwidth of 1.1 kHz;
(2.2) adding the obtained 9960Hz subcarrier to the DC 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 for every 25ms of the envelope of the 9960Hz subcarrier, and the maximum value max2 and the minimum value min2 can be obtained for 20 times for 500 ms;
(2.3) substituting the obtained 20 times maximum value max2 and minimum value min2 into the formula of the AM modulation factor:
Ma2＝(max2-min2)/(max2+min2)
respectively calculating AM modulation coefficients Ma2 of 9960Hz subcarriers of 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 subcarrier.
3) As shown in fig. 4, the obtaining of the azimuth angle includes:
(3.1) performing 120Hz IIR low-pass filtering on the DVOR baseband data to obtain a 30Hz reference phase signal;
(3.2) de-modulating the 9960Hz frequency modulated subcarrier in the DVOR baseband data, specifically:
(3.2.1) obtaining 9960Hz frequency-modulated subcarriers from DVOR baseband data through IIR band-pass filtering with a center frequency of 9960Hz and a bandwidth of 1100 Hz;
(3.2.2) obtaining a complex signal through 41-order FIR Hilbert filtering transformation;
(3.2.3) generating two signals comprising a phase difference on the complex signal using trigonometric transformation;
(3.2.4) frequency discrimination is carried out on the result after the trigonometric function transformation by using an extended arctangent Atan2 phase discriminator, and a variable phase signal of 30Hz containing the influence of high-frequency noise is obtained;
(3.2.5) obtaining a 30Hz variable phase signal without high frequency noise influence by 120Hz low pass filtering treatment on the 30Hz variable phase signal with high frequency noise influence;
(3.3) phase discrimination is carried out on the 30Hz reference phase signal and the 30Hz variable phase signal without high-frequency noise influence, specifically:
(3.3.1) downsampling the 30Hz reference phase signal and the 30Hz variable phase signal with a frequency of 1kHz, respectively;
(3.3.2) respectively obtaining complex signals of the 30Hz reference phase signal and the 30Hz variable phase signal by 41-order FIR Hilbert filtering transformation on the 30Hz reference phase signal and the 30Hz variable phase signal at the 1kHz sampling frequency;
(3.3.3) carrying out phase discrimination on the complex signals of the filtered and transformed 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 to 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 provided by the DVOR station by 0-180 degrees, and the obtained phase difference of-180-0 plus 360 degrees is 180-360 degrees corresponding to the navigation azimuth provided by the DVOR station, namely the required azimuth.
4) As shown in fig. 5, the acquiring of the identification code includes:
(4.1) performing IIR low-pass filtering (LPF) with cut-off frequency of 1020Hz and band-pass filtering (BPF) with center frequency of 1020Hz on the DVOR baseband data to obtain 1020Hz identification signal;
(4.2) performing envelope detection and IIR pass filtering (LPF) with passband cut-off frequency of 10Hz on the obtained 1020Hz identification signal, thereby obtaining a baseband signal of a DVOR station identification code corresponding to a morse code;
and (4.3) carrying out 0 or 1 judgment on the average of the baseband signals with the Morse codes as a threshold value, and carrying out dot-dash conversion through 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 to store the DVOR baseband data in an SD card in ZYNQ according to time length. Specifically, a xilffs library is added in the xilinxSDK to use a FAT file system module, f_open, f_write and f_close functions are used for reading and writing files, and DVOR baseband data is stored in an SD card according to ground requirements.
Claims (6)
1. The DVOR air signal test analysis system based on unmanned aerial vehicle and ZYNQ is characterized by comprising: the system comprises a data transmission module (1), a protocol conversion module (2) and an unmanned aerial vehicle (3) which are sequentially connected, wherein 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) in a ZYNQ platform are sequentially connected, the protocol conversion module (2) is also 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 is used for acquiring direct current voltage and converting the direct current voltage into 5V voltage and providing power, 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 DVOR air signals through a second antenna (10).
The data transmission module (1) has an air transmission rate of 2400bps and is used for sending command signals sent from an upper computer on the ground to the protocol conversion module (2) and sending test analysis results of DVOR air signals received from the protocol conversion module (2) to the upper computer on the ground;
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 is used for acquiring position and azimuth information from the unmanned aerial vehicle (3), the second serial port is connected with the data transmission module (1) and is used for acquiring command signals sent by an upper computer on the ground 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 is used for sending the acquired position and azimuth information and the command signals of the upper computer to the third serial port and is connected with the DVOR air signal analysis and data storage PS unit (8), and the test analysis result of the DVOR air signal received from the third serial port and the 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);
the band-pass filter (5) filters signals except 108-138 MHz of DVOR air signals acquired through the second antenna (10), the signals are sent to the AD conversion module (6), the AD conversion module (6) carries out radio frequency amplification, quadrature down-conversion to 0.1MHz intermediate frequency, low-pass filtering and 12bit AD conversion on the received DVOR air signals, and then generates 40M samples/second of I/Q two paths of quadrature data signals, and the 40M samples/second of I/Q two paths of quadrature data signals are sent to the DVOR air signal preprocessing PL unit (7);
the DVOR air signal analysis and data storage PS unit (8) processes the obtained DVOR baseband data with the downsampling frequency of 40kHz and the direct current component of the DVOR baseband data to obtain corresponding parameters of the DVOR baseband signal: the method comprises the steps of (1) transmitting 30Hz reference signal AM modulation factor, 9960Hz subcarrier AM modulation factor, azimuth angle and identification code to an upper computer for real-time display through a protocol conversion module (2) and a data transmission module (1); and saving the DVOR baseband data to an SD card in ZYNQ according to the ground requirement for subsequent analysis.
2. The system for testing and analyzing the DVOR air signal 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 40M samples/second I/Q two-way orthogonal data signal, and comprises the following steps:
1) Low-pass filtering is carried out through an FIR LPF IP core with the passband cut-off frequency of 0.15 MHz;
2) Extracting 40 times to 1MHz, and performing complex band pass filtering to remove the influence of local oscillator leakage through a BPF IP core with 0.1MHz center frequency and 30kHz bandwidth;
3) Envelope detection is carried out on two paths of DVOR baseband data by utilizing two multiplier IP cores and a square root IP core under the sampling frequency of 1 MHz;
4) The method comprises the steps of carrying out low-pass filtering on DVOR baseband data of 1MHz through an FIR LPF IP core with a passband cut-off frequency of 11kHz, carrying out downsampling frequency on the DVOR baseband data to 40kHz again, and obtaining direct current components 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 downsampling frequency of 40kHz is sent to the DVOR air signal analysis and data storage PS unit (8) through a dual-port RAM cache.
3. The unmanned aerial vehicle and ZYNQ-based DVOR air signal test analysis system of claim 1, wherein,
(1) The obtaining of the 30Hz reference signal AM modulation factor comprises the following steps:
(1.1) a buffer area with 4000Byte is arranged in a DVOR air signal analysis and data storage PS unit (8), DVOR baseband data is read by adopting a ping-pong structure, and the buffer area is stored once every 25ms and is equivalent to 2000Byte;
(1.2) performing 120Hz IIR low-pass filtering on DVOR baseband data at a sampling frequency of 40kHz to obtain a 30Hz reference phase signal, and downsampling to a sampling frequency of 1 KHz; obtaining a maximum value max1 and a minimum value min1 for each 50ms of the obtained 30Hz reference phase signal, and obtaining a maximum value max1 and a minimum value min1 for 10 times for 500 ms;
(1.3) substituting the obtained 10 times maximum value max1 and minimum value min1 into the formula of the AM modulation factor:
Ma1=(max1-min1)/(max1+min1)
respectively calculating the AM modulation coefficients Ma1 of the 30Hz reference phase signals of every 50ms to obtain 10 modulation coefficients;
(1.4) taking an average value of the 10 modulation coefficients, and outputting the average value, namely, the 30Hz reference signal AM modulation coefficient;
(2) The 9960Hz subcarrier AM modulation factor acquisition comprises the following steps:
(2.1) acquiring 9960Hz subcarrier of DVOR baseband data through IIR band-pass filtering with the center frequency of 9.96kHz and the bandwidth of 1.1 kHz;
(2.2) adding the obtained 9960Hz subcarrier with the DC component of the DVOR baseband data to obtain the envelope of the 9960Hz subcarrier; the maximum value max2 and the minimum value min2 are obtained once every 25ms for the envelope of the 9960Hz subcarrier, and the maximum value max2 and the minimum value min2 are obtained 20 times for 500 ms;
(2.3) substituting the obtained 20 times maximum value max2 and minimum value min2 into the formula of the AM modulation factor:
Ma2=(max2-min2)/(max2+min2)
respectively calculating AM modulation coefficients Ma2 of 9960Hz subcarriers of 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 subcarrier.
4. The unmanned aerial vehicle and ZYNQ-based DVOR air signal test analysis system of claim 1, wherein the acquisition of azimuth angles comprises:
(1) Performing 120Hz IIR low-pass filtering on the DVOR baseband data to obtain a 30Hz reference phase signal;
(2) De-frequency modulation is carried out on 9960Hz frequency modulation subcarriers in DVOR baseband data, and specifically:
(2.1) obtaining 9960Hz frequency-modulated subcarriers from DVOR baseband data through IIR band-pass filtering with a center frequency of 9960Hz and a bandwidth of 1100 Hz;
(2.2) obtaining a complex signal through 41-order FIR Hilbert filtering transformation;
(2.3) generating two signals containing phase differences on the complex signals by using trigonometric function transformation;
(2.4) frequency discrimination is carried out on the result after the trigonometric function transformation by using an extended arctangent Atan2 phase discriminator, and a variable phase signal of 30Hz containing the influence of high-frequency noise is obtained;
(2.5) obtaining a 30Hz variable phase signal without high-frequency noise influence by 120Hz low-pass filtering treatment on the 30Hz variable phase signal with high-frequency noise influence;
(3) The phase discrimination is carried out on the 30Hz reference phase signal and the 30Hz variable phase signal without high-frequency noise influence, and the phase discrimination specifically comprises the following steps:
(3.1) downsampling the 30Hz reference phase signal and the 30Hz variable phase signal with a frequency of 1kHz, respectively;
(3.2) respectively obtaining complex signals of the 30Hz reference phase signal and the 30Hz variable phase signal by 41-order FIR Hilbert filtering transformation on the 30Hz reference phase signal and the 30Hz variable phase signal at a sampling frequency of 1 kHz;
(3.3) carrying out phase discrimination on the complex signals of the filtered and transformed 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 to 180 degrees;
and (3.4) as 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 provided by the DVOR station, and the obtained phase difference of-180 degrees-0 plus 360 degrees is 180-360 degrees corresponding to the navigation azimuth provided by the DVOR station, so that the azimuth is obtained.
5. The unmanned aerial vehicle and ZYNQ-based DVOR air signal test analysis system of claim 1, wherein the acquisition of the identification code comprises:
(1) Carrying out IIR low-pass filtering with cut-off frequency of 1020Hz and band-pass filtering with center frequency of 1020Hz on DVOR baseband data to obtain 1020Hz identification signals;
(2) Performing envelope detection and IIR (IIR) pass filtering with passband cut-off frequency of 10Hz on the obtained 1020Hz identification signal, thereby obtaining a baseband signal of Morse code corresponding to the DVOR station identification code;
(3) And (3) carrying out 0 or 1 judgment on the average of the baseband signals of the obtained Morse codes as a threshold value, and carrying out dot-dash conversion on the number of 0 or 1 to obtain the corresponding Morse codes, namely the identification codes of the DVOR station.
6. The unmanned aerial vehicle and ZYNQ-based DVOR air signal test analysis system of claim 1, wherein adding xilffs library in XilinxSDK uses FAT file system module, uses f_open, f_write, f_close functions to read and write files, saves DVOR baseband data to SD card according to ground requirement.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111038088 | 2021-09-06 | ||
| CN2021110380882 | 2021-09-06 |
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| Publication Number | Publication Date |
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