Civil aviation very high frequency ground-air communication radio remote control device and human voice discrimination method
A remote control device and VHF technology, which is applied in the field of VHF ground-to-air communication, can solve the problems of affecting traffic order and flight safety, improving the signal-to-noise ratio of voice signals, and unsatisfactory accuracy rate, etc., achieving low power consumption, Small audio distortion and good batch production consistency
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Benefits of technology
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0043] Such as figure 1 As shown, in the present embodiment, a remote control device for civil aviation VHF ground-to-air communication station includes an E&M interface, a receiving audio processing path, and a sending audio processing path connected in sequence; the receiving audio processing path and the sending audio processing path are all related to MCU connection, MCU is used for state acquisition and indication, control signaling generation and output; E&M interface is used for audio signal interaction between remote control device and communication station; receiving audio processing path is used to complete the audio receiving from E&M interface to audio playback equipment Path; the audio processing module is used to complete the audio path from the microphone to the E&M interface; the microphone is used for the controller to send audio input; the audio playback device is used for the output of the audio signal to the controller, including loudspeaker, earphone or loudsp
Embodiment 2
[0050] Such as image 3 As shown, this embodiment provides a human voice discrimination method, which is used in the remote control device of the above-mentioned civil aviation VHF ground-to-air communication station. Considering that the civil aviation VHF ground-to-air communication station is specifically used in bad weather or complex electromagnetic environments, Distinguishing the human voice by using the characteristics of the background noise includes the following steps:
[0051] Step S1, obtain the audio signal converted by the ADC, and extract the characteristic parameters of the audio signal from the audio signal; the audio signal frame parameters include full-band audio frame energy, low-frequency audio frame energy, audio line spectrum frequency set and audio process Zero rate;
[0052] Step S2, sending the audio signal into a minimum buffer with a length of 32 frames, and obtaining the background noise characteristic parameters of the 32-frame audio signal updated
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap