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• W2151573841 abstract "This paper presents an array self-calibration technique in the presence of unknown array parameters consisting of the mutual coupling, sensor gains and phases for the uniform linear array (ULA) based on GNSS signals. In GNSS signals, the direction of arrival (DOA) can be derived from the GNSS ephemeris data. After the decorrelating with the locally generated PN codes by received signals, we use the residual Doppler frequency to construct the desired signals which would be dominant in the decorrelated signal. So the rank of the signal subspace is known. The noise subspace is obtained by the low complexity subspace tracking method. Then the unknown array parameters can be estimated in an iterative manner. The method can avoid the ambiguity because DOAs are known. And it provides estimate of these parameters in the receiving array without eigenvalue decomposition. Simulation results confirm the effectiveness of the proposed method. effect of mutual coupling, sensor gain, phase errors, and sensor position errors. This technique compensates almost all kinds of uncalibration impairments. But it requires a set of calibration sources at known locations. Friedlander and Weiss (11) proposed an iterative procedure to compensate the mutual coupling and perturbation of gain and phase. References (12), (13) described two self-calibration methods for uniform linear array (ULA) and uniform circular array (UCA) respectively. In this paper, we present a novel self-calibration method in the presence of mutual coupling and sensor gain and phase errors for the uniform linear array (ULA) based on GNSS received signals. The algorithm is an iterative method and can estimate these unknown array parameters. First the received signals realize decorrelation with the locally generated PN codes. Then the low complexity subspace tracking method is used to track the noise subspace with known rank. Then the mutual coupling coefficients, the sensor gain and phase errors can be estimated in a recursive manner, as Friedlander's system (5). The proposed method provides an estimate of these parameters in the receiving array without eigenvalue decomposition. It also avoids the ambiguities caused by array phase errors and the steering vector. Numerical simulations demonstrate the new method's effectiveness." @default.
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• W2151573841 date "2011-01-01" @default.
• W2151573841 modified "2023-09-24" @default.
• W2151573841 title "Sensor Array Self-Calibration Based on GNSS Signal" @default.
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• W2151573841 doi "https://doi.org/10.1109/m2rsm.2011.5697387" @default.
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