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Meena Ramani, Kaustubh Kale, Dr John G Harris

Direction of Arrival (DOA) estimation algorithm. Meena Ramani, Kaustubh Kale, Dr John G Harris. DOA talk outline. Motivation DOA algorithm requirements Types of DOA algorithms Accuracy vs. Computational intensity. Where does the DOA come into the picture?. 7 is good for me too!!.

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Meena Ramani, Kaustubh Kale, Dr John G Harris

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  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 Algorithms Spatial Correlation methods Subspace decomposition methods Delay and Sum Minimum Variance MUSIC Multiple Signal Classification ESPRIT Estimation of Signal parameters using rotational invariance Coherent MUSIC Root MUSIC DOA methods

  6. Comparison of accuracy at different SNR values Estimated DOA over a sentence Estimated Speech DOA over a sentence RMSE at different SNRs

  7. Evaluation of computational Intensity:MFLOPS 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

  8. Comparison of Accuracy-MFLOPS

  9. 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 value:~3o (at 10dB) Thank you. Questions?

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