Abstract | ||
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Moving platforms enable sparse arrays to assume higher degrees of freedom and lead to increased number of lags. In essence, array motion can fill the holes in the spatial auto correlation lags associated with a fixed platform and, therefore, increase the number of sources detectable by the same physical array. In this paper, we consider coprime arrays, and assume quasi-stationarity of the environment, where the source locations and waveforms are assumed invariant over array motion of half wavelength. Expressions of the synthetic array comprising the original coprime array and its shifted version are derived. Analysis of the difference co-array corresponding to the combined array positions before and after motion is provided. It is shown that majority, if not all, of the holes in the original array position can be filled by just a small translation shift along the coprime array axis. |
Year | DOI | Venue |
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2019 | 10.1109/icassp.2019.8682851 | 2019 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP) |
Keywords | Field | DocType |
Sparse arrays, DOA estimation, difference co-array, coprime array, array motion | Aperture,Topology,Expression (mathematics),Pattern recognition,Computer science,Waveform,Invariant (mathematics),Artificial intelligence,Frequency modulation,Coprime integers,Wavelength | Conference |
ISSN | Citations | PageRank |
1520-6149 | 0 | 0.34 |
References | Authors | |
0 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Guodong Qin | 1 | 2 | 1.72 |
Moeness Amin | 2 | 2909 | 287.79 |
Yimin Zhang | 3 | 1536 | 130.17 |