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MIMO-OFDM is the promising technique in the future of wireless communications as it combines the properties of Multiple Input Multiple Output (MIMO) systems with the properties of Orthogonal Frequency Division Multiplexing (OFDM). However, its sensitivity to frequency offsets, usually resulting in inter-carrier interference (ICI), makes frequency synchronization necessary for data recovery in the...
Transmitter leakage has a significant impact on the system performance in mobile devices using zero-IF receivers. In contrast to analog approaches, digital Tx leakage compensation approaches can easily be reconfigured and therefore are highly attractive for future mobile devices, using software defined radios. In this contribution we present a digital Tx leakage estimation and compensation approach,...
A data-aided iterative algorithm to estimate the nonlinearities of wireless emitters for specific emitter identification (SEI) is presented. To achieve robust estimation, inter symbol interference (ISI) is removed by iteratively estimating the channel coefficients and nonlinear transmit symbols to achieve asymptotically unbiased estimation. The complexity of the iteration procedure is further reduced...
Some communication applications, like multimedia, deliver data of different importance classes allowing unequal error protection (UEP) levels. In this paper, a multiple-input multiple-output (MIMO) system using orthogonal frequency division multiplexing (OFDM) is considered with a new UEP bit-loading algorithm based on the non-UEP algorithm by Chow, Cioffi, and Bingham. In the proposed bit-loading...
Effects of improved channel estimation are studied for a proposed IEEE 802.11n OFDM MIMO system. Three channel estimation methods are considered: maximum likelihood (ML), time-domain truncation (TDT) and model-based (MB). TDT and MB are particularly useful when the channel delay spread is short. For an MMSE receiver, MB shows a 1-2.5 dB improvement over ML on the packet error rate performance for...
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