Direction Finding With Partly Calibrated Uniform Linear Arrays

By B. Liao, Shing-Chow Chan. IEEE Transactions on Antennas and Propagation, 2012

108 citations recorded by the source corpus.

A new method for direction finding with partly calibrated uniform linear arrays (ULAs) is presented. It is based on the conventional estimation of signal parameters via rotational invariance techniques (ESPRIT) by modeling the imperfections of the ULAs as gain and phase uncertainties. For a fully calibrated array, it reduces to the conventional ESPRIT algorithm. Moreover, the direction-of-arrivals (DOAs), unknown gains, and phases of the uncalibrated sensors can be estimated in closed form without performing a spectral search. Hence, it is computationally very attractive. The Cramér-Rao bounds (CRBs) of the partly calibrated ULAs are also given. Simulation results show that the root mean squared error (RMSE) performance of the proposed algorithm is better than the conventional methods when the number of uncalibrated sensors is large. It also achieves satisfactory performance even at low signal-to-noise ratios (SNRs).

Subfields: Aerospace Engineering, Signal Processing

View Paper: https://www.semanticscholar.org/paper/81428d841d168c9f342eb533714c6aeddfe8d8c3

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In Aerospace Engineering

1. R. Jin
2. Jun-ping Geng
3. Chong He
4. Xianling Liang

Citations in the corpus

• Direction Finding by Time-Modulated Linear Array (2018, background): “In recent years, direction finding has new applications in the location services for the mobile Internet, such as the indoor navigation, the reverse car searching, and so on [2], [3].”