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Small unmanned aerial vehicle image transmission signal analysis and demodulation method

A small unmanned aerial vehicle, signal analysis technology, applied in the field of signal processing

Active Publication Date: 2019-08-16
UNIT 63892 OF PLA
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AI Technical Summary

Problems solved by technology

The CP-OFDM (Cyclic Prefix-OFDM) signal is the most commonly used and important type of signal in the small UAV image transmission signal. It adopts the form of inserting a cyclic prefix in the guard interval. Research not yet reported

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  • Small unmanned aerial vehicle image transmission signal analysis and demodulation method

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Embodiment Construction

[0071] The technical solution of the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments.

[0072] Such as figure 1 As shown, a small unmanned aerial vehicle image transmission signal analysis and demodulation method, which includes the following specific steps:

[0073] S1. Receive UAV image transmission signal

[0074] Under the condition of non-cooperative reception, receive the UAV image transmission CP-OFDM signal within the preset detection frequency range, figure 2 It is the frequency domain waveform of the image transmission signal of the small UAV, and the center frequency and bandwidth of the frequency domain waveform are roughly estimated by the maximum likelihood estimation method according to the frequency spectrum.

[0075] S2. Delayed autocorrelation estimates the number of subcarriers and the subcarrier symbol rate

[0076] Under the condition of non-cooperative reception, OFDM signal ana...

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Abstract

The invention discloses a small unmanned aerial vehicle image transmission signal analysis and demodulation method, which comprises the following sequential steps of receiving small unmanned aerial vehicle image transmission CP-OFDM signal in a preset detection frequency range under a non-cooperative receiving condition; estimating the number of subcarriers of the CP-OFDM signal based on delayed autocorrelation, calculating to obtain the number of the subcarriers, namely FFT points in OFDM modulation and demodulation, and estimating the symbol rate of the subcarriers to complete sampling ratealignment; copying the data frame tail data to a protection interval to serve as a cyclic prefix to form a unique cyclic structure according to CP-OFDM signals, carrying out sliding autocorrelation onthe signals to obtain symbol timing synchronization of CP-OFDM sinals; adopting a two-step processing mode of combining coarse estimation with precise synchronization to complete frequency offset estimation and compensation on the symbol after timing synchronization; and carrying out estimation verification by adopting the actual unmanned aerial vehicle image transmission signal data. According to the invention, aiming at image transmission signals of a small unmanned aerial vehicle under a non-cooperative condition, sensing and identifying of CP-OFDM sinals of the small unmanned aerial vehicle is realized.

Description

technical field [0001] The present invention relates to the technical field of signal processing, in particular to a method for analyzing and demodulating a small unmanned aerial vehicle image transmission signal, which analyzes, estimates and blindly solves CP-OFDM signals under the condition of unknown CP-OFDM signal formats It is used to realize the perception and recognition of small UAV signals. Background technique [0002] With the transformation and development of drone technology, people's demand for drones is increasing day by day. Small drones have become a popular consumer product due to their small size, low noise, easy portability, and easy manipulation. . At present, the UAV market at home and abroad is developing rapidly, and more and more UAV enthusiasts have their own UAVs, but the problems caused by this are also becoming more and more prominent. Although drones bring convenience to users in the use of high-altitude shooting and aerial mounting, they als...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N21/438H04N7/18H04L27/26
CPCH04L27/265H04L27/2659H04L27/266H04N7/18H04N21/4382
Inventor 董政贾腾飞周波戴幻尧周志勇贾锐
Owner UNIT 63892 OF PLA
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