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Wideband direction of arrival estimation using a backward nonnegative sparse method.

Songyue Qu1,2, Lianghao Guo1, Suiling Ren1

  • 1State Key Laboratory of Acoustics, Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, People's Republic of China.

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|February 5, 2025
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Summary
This summary is machine-generated.

The backward nonnegative sparse (BNNS) method improves wideband direction-of-arrival (DOA) estimation by processing signals across frequencies. This technique effectively suppresses spatial aliasing interference, enabling detection of weak signals.

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Area of Science:

  • Signal Processing
  • Array Signal Processing

Background:

  • Traditional direction-of-arrival (DOA) estimation methods struggle with spatial aliasing in wideband signals.
  • Treating signals at different frequencies separately leads to interference and difficulty detecting weak signals.

Purpose of the Study:

  • Introduce a novel wideband DOA estimation method to overcome spatial aliasing challenges.
  • Develop a technique that processes signals jointly across multiple frequencies for improved accuracy.

Main Methods:

  • The backward nonnegative sparse (BNNS) method processes wideband signals jointly across multiple frequencies.
  • It leverages the constant mainlobe direction and frequency-varying grating lobes.
  • Dictionaries are selectively filtered to retain only mainlobe entries, reducing grating lobe interference.

Main Results:

  • BNNS effectively suppresses grating lobes in wideband DOA estimation.
  • The method demonstrates capability in detecting weak signals under low signal-to-noise and signal-to-interference ratios.
  • Enhanced peak-background contrast was observed using the Swellex96 experimental data.

Conclusions:

  • The BNNS method offers a robust solution for wideband DOA estimation.
  • It significantly mitigates interference caused by spatial aliasing.
  • BNNS enhances the performance and reliability of DOA estimation systems.