Broadband direction of arrival estimation via spatial co-prime sampling and polynomial matrix methods

William Thomas Coventry; Carmine Clemente; John Soraghan

Broadband direction of arrival estimation via spatial co-prime sampling and polynomial matrix methods

William Thomas Coventry, Carmine Clemente, John Soraghan

Electronic And Electrical Engineering

Research output: Contribution to conference › Paper

Abstract

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

Language	English
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
Abbreviated title	IRC2018
Country	China
City	Nanjing
Period	17/10/18 → 19/10/18
Internet address	http://www.ietradar.org

Fingerprint

Direction of arrival

Radar systems

Modulation

Polynomials

Antennas

Sampling

Electronic warfare

Communication systems

Signal processing

Electric power utilization

Costs

Keywords

broadband direction of arrival
polynomial matrices
polynomial eigenvalue decomposition
co-prime sensing

Cite this

Coventry, W. T., Clemente, C., & Soraghan, J. (2018). Broadband direction of arrival estimation via spatial co-prime sampling and polynomial matrix methods. Paper presented at IET International Radar Conference 2018, Nanjing, China.

Coventry, William Thomas ; Clemente, Carmine ; Soraghan, John. / Broadband direction of arrival estimation via spatial co-prime sampling and polynomial matrix methods. Paper presented at IET International Radar Conference 2018, Nanjing, China.

@conference{16654f0ad288487d9857d1326d2358c0,

title = "Broadband direction of arrival estimation via spatial co-prime sampling and polynomial matrix methods",

abstract = "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",

keywords = "broadband direction of arrival, polynomial matrices, polynomial eigenvalue decomposition, co-prime sensing",

author = "Coventry, {William Thomas} and Carmine Clemente and John Soraghan",

year = "2018",

month = "10",

day = "17",

language = "English",

note = "IET International Radar Conference 2018, IRC2018 ; Conference date: 17-10-2018 Through 19-10-2018",

url = "http://www.ietradar.org",

}

Coventry, WT , Clemente, C & Soraghan, J 2018, 'Broadband direction of arrival estimation via spatial co-prime sampling and polynomial matrix methods' Paper presented at IET International Radar Conference 2018, Nanjing, China, 17/10/18 - 19/10/18, .

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 -

Coventry WT , Clemente C , Soraghan J. Broadband direction of arrival estimation via spatial co-prime sampling and polynomial matrix methods. 2018. Paper presented at IET International Radar Conference 2018, Nanjing, China.