Abstract
Language | English |
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Publication status | Published - 17 Oct 2018 |
Event | IET International Radar Conference 2018 - Hilton Nanjing Riverside, Nanjing, China Duration: 17 Oct 2018 → 19 Oct 2018 http://www.ietradar.org |
Conference
Conference | IET International Radar Conference 2018 |
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Abbreviated title | IRC2018 |
Country | China |
City | Nanjing |
Period | 17/10/18 → 19/10/18 |
Internet address |
Fingerprint
Keywords
- broadband direction of arrival
- polynomial matrices
- polynomial eigenvalue decomposition
- co-prime sensing
Cite this
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Broadband direction of arrival estimation via spatial co-prime sampling and polynomial matrix methods. / Coventry, William Thomas; Clemente, Carmine; Soraghan, John.
2018. Paper presented at IET International Radar Conference 2018, Nanjing, China.Research output: Contribution to conference › Paper
TY - CONF
T1 - Broadband direction of arrival estimation via spatial co-prime sampling and polynomial matrix methods
AU - Coventry, William Thomas
AU - Clemente, Carmine
AU - Soraghan, John
PY - 2018/10/17
Y1 - 2018/10/17
N2 - Direction of arrival estimation is a crucial aspect of many active and passive systems, including radar and electronic warfare applications. Spread spectrum modulation schemes are becoming ever more common in both Radar and Communications systems. Because such modulation spreads the signal energy in frequency and time, such sources prompt the need for new approaches for detection and location. Broadband antennas and their subsequent signal processing systems are expensive in terms of both cost and power consumption. This forces a limitation on the number of elements in a feasible real-world array. In this paper a novel co-prime broadband MUSIC based direction of arrival algorithm is presented. The main feature of the new method is that it aims to reduce the number of antenna elements for a given aperture by utilising a coprime sensing scheme applied to the problem of broadband direction finding via the polynomial MUSIC algorithm. Comparative results using simulated data show that the proposed co-prime polynomial MUSIC has comparable performance to those obtained using a uniform linear array method with an equivalent physical aperture
AB - Direction of arrival estimation is a crucial aspect of many active and passive systems, including radar and electronic warfare applications. Spread spectrum modulation schemes are becoming ever more common in both Radar and Communications systems. Because such modulation spreads the signal energy in frequency and time, such sources prompt the need for new approaches for detection and location. Broadband antennas and their subsequent signal processing systems are expensive in terms of both cost and power consumption. This forces a limitation on the number of elements in a feasible real-world array. In this paper a novel co-prime broadband MUSIC based direction of arrival algorithm is presented. The main feature of the new method is that it aims to reduce the number of antenna elements for a given aperture by utilising a coprime sensing scheme applied to the problem of broadband direction finding via the polynomial MUSIC algorithm. Comparative results using simulated data show that the proposed co-prime polynomial MUSIC has comparable performance to those obtained using a uniform linear array method with an equivalent physical aperture
KW - broadband direction of arrival
KW - polynomial matrices
KW - polynomial eigenvalue decomposition
KW - co-prime sensing
UR - http://www.ietradar.org/
M3 - Paper
ER -