Abstract
In this paper, a gridless DOA estimation method with coexistence of non-circular and circular signals is proposed by employing an enhanced sparse nested array, whose virtual array has no holes. The virtual signals derived from both sum and difference co-arrays are constructed based on atomic norm minimization. Simulation results are provided to demonstrate the performance of the proposed method.
Original language | English |
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Title of host publication | 2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop, SAM 2020 |
Publisher | IEEE Computer Society |
ISBN (Electronic) | 9781728119465 |
DOIs | |
Publication status | Published - Jun 2020 |
Event | 11th IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2020 - Hangzhou, China Duration: 8 Jun 2020 → 11 Jun 2020 |
Publication series
Name | Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop |
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Volume | 2020-June |
ISSN (Electronic) | 2151-870X |
Conference
Conference | 11th IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2020 |
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Country/Territory | China |
City | Hangzhou |
Period | 8/06/20 → 11/06/20 |
Keywords
- Atomic norm
- Circular
- DOA estimation
- Enhanced nested sparse array
- Non-circular signals
- Virtual array
ASJC Scopus subject areas
- Signal Processing
- Control and Systems Engineering
- Electrical and Electronic Engineering