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As an irreplaceable part of industrial process, catalysts characteristics in the reaction process are getting more and more research. However, the traditional detection methods are off-line measurements, and the state of the catalysts cannot be known in real time, which does not do much effect on guiding the chemical reactions and production. Industrial Process Tomography (PT) is a method for online monitoring of multi-phase flow, in which Electromagnetic Tomography (EMT) has good imaging performances for particles with certain permeability or conductivity. Prior to EMT measurements, the electromagnetic properties of particles have to be acquired. In the previous research, a method for measuring the equivalent permeability of particle mixtures was proposed, in which the measurement system consisted of a four-tap solenoid coil sensor and a LCR meter. Based on our previous research, a portable measurement equipment has been designed to replace the LCR meter. This kind of instruments can work in different frequency conveniently and its SNR ranges from $\mathrm56.3~dB$ to $\mathrm78.5~dB$. Experimental results in frequencies $\mathrm31.25~kHz$ and $\mathrm500~Hz$ show that the relative errors of the developed system are below 8.14%.

This paper describes a novel method for radar target classification based on high range resolution profile (HRRP). In view of the non-stationary characteristic of radar signal, adaptive Gaussian basis representation (AGR) is utilized to extract features from raw HRRP signatures to fully retain the physics information of target. Then learning vector quantization (LVQ) network is adopted to tackle the classification of single echo (after features extraction) with complicated space distribution. Finally ,a combined classification scheme combining LVQ networks with the majority voting rule is designed to circumvent the sensitivity of HRRP to target aspects based on sequential echoes. A actual example using three scaled aircraft model data collected in microwave anechoic chamber is presented to demonstrate the effectiveness of proposed scheme.