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| Dictionary Optimization for DOA Approximation in a Single Snapshot |
| Xiaochuan Wu, Weibo Deng, Qiang Yang |
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Abstract In the Direction of Arrival approximation, Compressed Sensing
algorithm will fail to identify correct atoms due to high cumulative
coherence of the redundant dictionary (manifold matrix). For
insufficient number of samples, especially for a single snapshot,
less statistical information aggravates such adverse effects. In
this paper, we utilize the observed signal to construct a weighted
matrix which can reduce the cross cumulative coherence of the
redundant dictionary. And then, we develop a constructive algorithm
combing with the weighted matrix to estimate Direction of Arrival.
The simulation results prove our algorithm can effectively reduce
the signal deviation caused by high coherence of dictionary,
specifically in the circumstance of closely spatial sources.
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| DOI:10.12733/jics20105699 |
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