In order to compensate nonideal receiving characteristic of electric probes used in planar electromagnetic near-field scanning, scalar calibration and post-processing method based on deconvolution is proposed. The measurement setup and numerical procedure for discrete data processing is described in detail. The receiving characteristics of the probes are directly determined from scanning measurements and fullwave simulation of the specific calibration structure. Special attention is given to reduction of post-processing errors due to noisy input data. The compensation procedure is successfully validated with two probes and two planar test objects over two decades of frequency. The deconvolution method greatly improves spatial resolution of near-field scans and accurately determines distribution of normal electric field in true levels

Commercial User Equipment (UE) testing and certification has become more complex for state-of-the-art mobile communication standards such as 3rd Generation Partnership Project (3GPP) Long-Term Evolution (LTE) due to the extensive use of Multiple Input-Multiple Output (MIMO) transmission techniques. The variety of different MIMO operating modes and the almost unlimited choice of possible multipath channel conditions under which UE performance may be evaluated are not accounted for by established Single Input-Single Output (SISO) Over-The-Air (OTA) performance metrics like Total Isotropic Sensitivity (TIS) and Total Radiated Power (TRP). As pointed out in this contribution, meaningful metrics and cost-effective, low-complexity measurement methods can, nevertheless, be derived by focusing on characterization of the physical attributes of UE and by adopting statistical metrics. Starting from a brief review of the most important MIMO operating modes in the 3GPP LTE standard, the relation between UE properties and UE performance, which is observed in these operating modes, is discussed. Two complementary metrics and corresponding measurement procedures for evaluation of MIMO OTA performance are presented in order to address the diversity of possible propagation scenarios. Measurement results from preliminary implementations of the two proposed measurement procedures, including comparison between different LTE devices, are presented.

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Abstract-In this document a numerical validation of the decomposition method is presented. This is a powerful method to split MIMO (multiple input multiple output) enabled UE (user equipment) tests in a radiated and a conducted part to save measurement time.The concept and fundamental properties of this procedure are introduced. The aim is to show the validity under certain circumstances of this concept by simulation.The chosen path is to employ a 2×2 MIMO transmission system. Stochastic and deterministic channel models are used, as Rayleigh channels with no line of sight components (NLOS) and identity matrices. Receiving antenna setups with different characteristics were investigated.Also the practical behaviour of the method using CTIA (The Wireless Association) LTE (Long Term Evolution) reference antennas has been examined. Therefore the distributions of the antenna condition number and of the deviation between the results are provided.Index Terms-Decomposition method, decomposition approach, LTE, LTE device test, MIMO, MIMO OTA test, OTA, two-channel method.

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