Improved DOA Estimations Using the Receiving Mutual Impedances for Mutual Coupling Compensation: An Experimental Study

Yu, Yantao; Lui, Hoi-Shun; Niow, C. H.; Hui, Hon Tat

doi:10.1109/twc.2011.041311.101062

Cited by 43 publications

(11 citation statements)

References 20 publications

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“…The compensation of such an undesired effect has been a popular research topic throughout the years. Various approaches for scalar antenna arrays' mutual-coupling calibration have been developed, and they can easily be found in the open literature [18][19][20][21][22][23][24][25]. Wong & Yuan used spatially noncollocating six-component EMVS to decreases the mutual coupling across the six collocated antennas [17].…”

Section: Mutual Coupling Across the Six Collocated Antennas Of An Emvsmentioning

confidence: 99%

Mutual Coupling Calibration for Electromagnetic Vector Sensor

Wang

Wang²,

Zeng³

2013

PIER B

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Abstract-A subspace self-calibration ESPRIT algorithm for mutual coupling across an electromagnetic vector sensor is proposed in this paper. By introducing an auxiliary array element, the mutual coupling is calibrated. The whole array's mutual coupling matrix can be obtained simultaneously. A mathematic model for mutual coupling across the six collocated antennas of an electromagnetic vector sensor is established. And the solution of mutual coupling matrix was transformed into the solution of several matrix elements. The CramerRao Bound (CRB) is also derived in the end of this paper to verify the efficacy of the proposed algorithm. The simulation results demonstrate that this approach is correct and effective.

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Section: Mutual Coupling Across the Six Collocated Antennas Of An Emvsmentioning

confidence: 99%

Mutual Coupling Calibration for Electromagnetic Vector Sensor

Wang

Wang²,

Zeng³

2013

PIER B

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“…In our previous work [16], a measurement campaign was conducted with a virtual uniform circular array (UCA) with 2 GHz bandwidth at different frequencies. Using a virtual antenna array helps to reduce the mutual coupling effect between antenna elements for channel estimation [42]. The measurement data were processed with a classic (Bartlett) beamforming under the plane-wave assumption.…”

Section: Introductionmentioning

confidence: 99%

Channel Characterization for Wideband Large-Scale Antenna Systems Based on a Low-Complexity Maximum Likelihood Estimator

Fan

Pedersen

2018

IEEE Trans. Wireless Commun.

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Wideband large-scale array systems operating at millimeter-wave bands are expected to play a key role in future communication systems. It is recommended by standardization groups to use spherical-wave models (SWMs) to characterize the channel in near-field cases because of the large array apertures and the small cell size. However, this feature is not widely reflected in channel models yet, mainly due to the high computational complexity of SWMs compared to that of the conventional plane-wave model (PWM), especially when ultrawideband signals are considered. In this paper, a maximum likelihood estimator (MLE) of low computational complexity is implemented with a SWM for ultrawideband signals. The measurement data obtained from an ultrawideband large-scale antenna array system at 28-30 GHz are processed with the proposed algorithm. The power azimuth-delay profiles (PADP) estimated from the SWM and the PWM are compared to those obtained from rotational horn antenna measurement, respectively. It shows that the multipath components (MPCs) are well-estimated with the proposed algorithm, and significant improvement in estimation performance is achieved with the SWM compared to the PWM. Moreover, the physical interpretation of the estimated MPCs is also given along with the estimated scatterers.

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“…Compared with the planar array, the curved structure of a conformal array brings new challenges to the problem of DOA estimation. Moreover, due to the limited arrange space of a conformal array, the effect of mutual coupling may become more obvious and consequently degrade the performance of most existing DOA estimation algorithms [2].…”

Section: Introductionmentioning

confidence: 99%

An Efficient 2-D DOA Estimation for a Cylindrical Conformal Array with Unknown Mutual Coupling

Liu

Yin

2018

International Journal of Antennas and Propagation

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The limited space of a conformal array may lead to a serious mutual coupling effect, which will significantly affect the performance of direction of arrival (DOA) estimation algorithms. In this paper, an efficient 2-D direction finding method is developed in the presence of unknown mutual coupling for the uniform cylindrical conformal array (CCA). To avoid the time-consuming twodimensional spectral peak searching, the 2-D DOA estimation is decoupled and divided into two 1-D DOA estimations. Elevation is first estimated based on a subarray estimation of signal parameters via rotation invariant technique (ESPRIT), and then azimuth is estimated based on the rank reduction (RARE) method by using the elevation estimation result. Consequently, the mutual coupling coefficients can be estimated after getting the DOA estimates. The proposed method can well calibrate the mutual coupling effect of a cylindrical array with a low computational complexity. The final simulation results corroborate our analysis.

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Improved DOA Estimations Using the Receiving Mutual Impedances for Mutual Coupling Compensation: An Experimental Study

Cited by 43 publications

References 20 publications

Mutual Coupling Calibration for Electromagnetic Vector Sensor

Mutual Coupling Calibration for Electromagnetic Vector Sensor

Channel Characterization for Wideband Large-Scale Antenna Systems Based on a Low-Complexity Maximum Likelihood Estimator

An Efficient 2-D DOA Estimation for a Cylindrical Conformal Array with Unknown Mutual Coupling

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