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Digital Voice Waveform Selection

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Lower bit rates require modeling characteristics of human voice. HFIA 2005 , #4 ... Periodic pulse train or white noise excite an all pole synthesis filter ... – PowerPoint PPT presentation

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Title: Digital Voice Waveform Selection


1
Digital Voice Waveform Selection
  • J. W. Nieto
  • Harris Corporation
  • RF Communications Division

2
Presentation Overview
  • Presentation Overview
  • Digital Voice
  • Operational Requirements
  • Waveform Requirements
  • HF Waveform Standards
  • DV Performance
  • Waveform Performance
  • Recommendation

3
Digital Voice
  • Starting Point
  • 8000 samples per second
  • 12 or 16 bits per sample
  • Compression (u-law, a-law) yields 64 kbps
  • 8 bits per sample
  • Continuously Variable Slope Delta (CVSD) yields
    16000 bps
  • Lower bit rates require modeling characteristics
    of human voice

4
Digital Voice
  • Linear Predictive Coders (termed vocoders)
  • Human voice specific (model human voice tract)
  • High compression of speech
  • Low quality of non-speech signals
  • Periodic pulse train or white noise excite an all
    pole synthesis filter
  • Sometimes sound mechanical or buzzy
  • Prone to annoying thumps and tonal noises
  • LPC10e -gt 2400 bps

5
Digital Voice
  • Mixed Excitation Linear Prediction (MELPe)
  • Funded by US Government
  • Based on traditional LPC10e parametric model
  • Additional Enhancements
  • Mixed excitation
  • Aperiodic pulses
  • Pulse dispersion
  • Adaptive spectral enhancement
  • Fourier magnitude scaling
  • Noise preprocessor
  • 2400 bps and 1200 bps
  • Harris proprietary 600 bps

6
Digital Voice
  • Desired Digital Voice Characteristics
  • Intelligibility
  • Voice Quality
  • Speaker recognition
  • Communicability
  • Robust to acoustic background noise environments
  • Low data rates
  • Robust to bit errors
  • Low computational complexity
  • Low latency
  • MELPe significantly better than LPC10e

7
Vocoder Parameters
8
Operational Requirements
  • Secure communications
  • Integrated voice and data (with quality of
    service)
  • Interoperability
  • Long battery life
  • Small light-weight radio
  • Automated functionality (i.e. Automatic Link
    Establishment, hands free operation)
  • Covert and easy to deploy antenna
  • Automated selection of DV algorithm and physical
    layer waveform based on channel conditions
  • Ad-hoc networking
  • Broadcast, conference and private communications
  • Good performance in difficult acoustic background
    noise environments

9
Waveform Requirements
  • Robust preamble able to provide error-free
    Message Indicator (MI) and other required
    information (data rate, interleaver size, traffic
    type, etc)
  • Sound quality mostly immune to fading and
    interference common to HF communications
  • Handle wide range of multipath/fading conditions
  • Low latency
  • Handle narrow band interference and impulsive
    noise
  • Small peak-to-average ratio (PAR) (i.e. maximize
    transmit power)
  • Reduced adjacent channel interference

10
HF Waveform Standards
11
STANAG 4539
12
DV Random Bit Error Performance
13
Waveform Performance
PDF Mid-Latitude Disturbed Channel Condition
14
Waveform Performance
PDF Mid-Latitude Quiet Channel Condition
15
Waveform Performance
CDF Mid-Latitude Disturbed Channel Condition
16
Waveform Performance
CDF Mid-Latitude Quiet Channel Condition
17
Recommendation
  • Standardized HF waveform to use for Digital Voice
  • STANAG 4539
  • 2400S, 1200S, 600S
  • Provides autobaud and automode (data or DV)
  • Integrated voice and data system
  • Issues with developing new waveforms designed
    specifically for vocoders
  • Costly development and standardization process
  • Which bits should be coded ?
  • Which FEC most effective on HF multipath fading
    channels ?
  • How many different HF channel conditions should
    be tested ?
  • How many hours of speech should be tested to
    select best waveform ?
  • Would it be significantly better than STANAG 4539
    ?
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