Meena Ramani, Kaustubh Kale, Dr John G Harris - PowerPoint PPT Presentation

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Meena Ramani, Kaustubh Kale, Dr John G Harris

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ESPRIT. Estimation of Signal parameters. using rotational invariance. Delay and Sum ... MFLOPS leads to the conclusion that ESPRIT is probably the DOA algorithm best ... – PowerPoint PPT presentation

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Title: Meena Ramani, Kaustubh Kale, Dr John G Harris


1
Direction of Arrival (DOA) estimation algorithm
  • Meena Ramani, Kaustubh Kale, Dr John G Harris

2
DOA talk outline
  • Motivation
  • DOA algorithm requirements
  • Types of DOA algorithms
  • Accuracy vs. Computational intensity

3
Where does the DOA come into the picture?
7 is good for me too!!
DOA Estimation qs qn
Lets meet at 11?!?
11 sounds good!!
Beamformer
Has 2 microphones
4
DOA requirements
  • The DOA algorithm must satisfy the following
    conditions
  • High accuracy particularly at low SNRs
  • Low computational intensity
  • Low memory
  • Efficient for a 2 microphone array with 4cm
    separation (set by beamforming requirements).

5
DOA methods
6
DOA Method Equation for Implementation
Delay and Sum
Minimum Variance
MUSIC
Coherent MUSIC
Root MUSIC
ESPRIT
7
Comparison of accuracy at different SNR values
Estimated DOA over a sentence
Estimated Speech DOA over a sentence
RMSE at different SNRs
8
Evaluation of computational IntensityMFLOPS
comparison chart
Min Variance 0.93 Mflops Coherent MUSIC 0.39
Mflops DS 0.35 Mflops MUSIC 0.081 Mflops
ESPRIT 0.0086 Mflops
Root MUSIC 0.0068 Mflops
9
Comparison of Accuracy-MFLOPS
10
Conclusion
  • Tradeoff between Accuracy and MFLOPS leads to the
    conclusion that ESPRIT is probably the DOA
    algorithm best suited for our purpose
  • MFLOPS value 0.0086
  • RMSE value3o (at 10dB)

Thank you.
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