Fast DOA estimation using co-prime array

A new method is proposed to estimate the direction-of-arrivals (DOAs) of multiple narrow-band signals using a co-prime array (CPA). The CPA is divided into two uniform linear arrays (ULAs) and two polynomials are derived by utilising the unitary transformation technique on the covariance matrices of...

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Vydáno v:Electronics letters Ročník 54; číslo 7; s. 409 - 410
Hlavní autoři: Yan, Feng-Gang, Liu, Shuai, Wang, Jun, Jin, Ming, Shen, Yi
Médium: Journal Article
Jazyk:angličtina
Vydáno: The Institution of Engineering and Technology 05.04.2018
Témata:
Antennas and propagation
array signal processing
covariance matrices
co‐prime array
CPA
difference polynomial
direction‐of‐arrival estimation
direction‐of‐arrivals
DOAs
fast DOA estimation
first‐order derivatives
low‐complexity algorithm
narrow‐band signals
polynomials
reduced complexity
ULAs
uniform linear arrays
unitary transformation technique
covariance matrices
difference polynomial
polynomials
low-complexity algorithm
co-prime array
direction-of-arrival estimation
reduced complexity
ULAs
CPA
unitary transformation technique
narrow-band signals
direction-of-arrivals
fast DOA estimation
uniform linear arrays
DOAs
first-order derivatives
array signal processing
ISSN:0013-5194, 1350-911X, 1350-911X
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Popis
Shrnutí:A new method is proposed to estimate the direction-of-arrivals (DOAs) of multiple narrow-band signals using a co-prime array (CPA). The CPA is divided into two uniform linear arrays (ULAs) and two polynomials are derived by utilising the unitary transformation technique on the covariance matrices of these two ULAs. Rather than rooting the two polynomials straightforwardly, their first-order derivatives are exploited to construct a new difference polynomial, and DOAs are uniquely estimated without ambiguity by finding the roots of this difference polynomial that lie closest to the unit circle. The new technique shows improved accuracy with reduced complexity as compared to most state-of-the-art methods, which are verified by numerical simulations.
ISSN:0013-5194
1350-911X
1350-911X
DOI:10.1049/el.2017.2491