Assessment of microInductors for DC-DC converters

There are increasing demands on the power density and efficiency of DC-DC power converters due to the soaring functionality and operational longevity required for today's electronic products. In addition, DC-DC converters are required to operate at new elevated frequencies in the MHz frequency regime. Typical ferrite cores, whose useable flux density falls drastically at these frequencies, have to be replaced and a method of producing compact component windings developed. In this study, two types of microinductors, pot-core and solenoid, for DC-DC converter applications have been analyzed for their performance in the MHz frequency range. The inductors were manufactured using an adapted UV-LIGA process and included electrodeposited nickel-iron and the commercial alloy Vitrovac 6025 as core materials. Using a vibrating sample magnetometer (VSM) and a Hewlett Packard 4192A LF- impedance analyzer, the inductor characteristics such as power density, efficiency, inductance and Q-factor were recorded. Experimental, finite element and analytical results were used to assess the suitability of the magnetic materials and component geometries for low MHz operation.

Maximum-likelihood estimator for coarse carrier frequency offset estimation in OFDM systems

Orthogonal frequency division multiplexing (OFDM) systems are more sensitive to carrier frequency offset (CFO) compared to the conventional single carrier systems. CFO destroys the orthogonality among subcarriers, resulting in inter-carrier interference (ICI) and degrading system performance. To mitigate the effect of the CFO, it has to be estimated and compensated before the demodulation. The CFO can be divided into an integer part and a fractional part. In this paper, we investigate a maximum-likelihood estimator (MLE) for estimating the integer part of the CFO in OFDM systems, which requires only one OFDM block as the pilot symbols. To reduce the computational complexity of the MLE and improve the bandwidth efficiency, a suboptimum estimator (Sub MLE) is studied. Based on the hypothesis testing method, a threshold Sub MLE (T-Sub MLE) is proposed to further reduce the computational complexity. The performance analysis of the proposed T-Sub MLE is obtained and the analytical results match the simulation results well. Numerical results show that the proposed estimators are effective and reliable in both additive white Gaussian noise (AWGN) and frequency-selective fading channels in OFDM systems.

Ultra-wideband cognitive interrogator network for indoor location tracking - part 1: system architecture and network performance analysis

We explore the potential application of cognitive interrogator network (CIN) in remote monitoring of mobile subjects in domestic environments, where the ultra-wideband radio frequency identification (UWB-RFID) technique is considered for accurate source localization. We first present the CIN architecture in which the central base station (BS) continuously and intelligently customizes the illumination modes of the distributed transceivers in response to the systempsilas changing knowledge of the channel conditions and subject movements. Subsequently, the analytical results of the locating probability and time-of-arrival (TOA) estimation uncertainty for a large-scale CIN with randomly distributed interrogators are derived based upon the implemented cognitive intelligences. Finally, numerical examples are used to demonstrate the key effects of the proposed cognitions on the system performance