Accurate time-delay measurement is essential for positioning with Global Navigation Satellite Systems (GNSS). For mobile receivers small cost, moderate complexity and low energy consumption are desirable. In contrast,...
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ISBN:
(纸本)9781627481380
Accurate time-delay measurement is essential for positioning with Global Navigation Satellite Systems (GNSS). For mobile receivers small cost, moderate complexity and low energy consumption are desirable. In contrast, Safety-of-Life (SoL) applications require fast processing in order to meet strict time constraints. Concerning these technical considerations, single bit analog-to-digital converters (ADC) are highly attractive as they are simple to build, require low energy and allow to realize high sampling rates and fast digital processing. On the other hand, such systems introduce a loss in the estimation accuracy. In this work we derive a mathematical model for 1-bit GNSS receivers, which takes into account the effects of the analog filters and the non-linear quantizer in the receiver front-end. Based on this refinement we derive analytic formulations for the receiver performance by resorting to the estimation theoretic tools which have become popular for the analysis of ideal receivers with infinite resolution. Finally, we verify the 1-bit quantization-loss for time-delay estimation systems, acting in low SNR scenarios, and investigate possible approaches to reduce this degradation by adjusting the analog front-end.
A method is presented for efficiently describing the capabilities of the physical layer in a MIMO communication system. Such a description is required in systems that determine the optimum operation point based on inf...
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In this contribution we perform a review of some recent developments and important results on Filter Bank based Multicarrier (FBMC) systems and make a comparison with Cyclic Prefix (CP) based OFDM. We first give an ov...
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By restricting the receive filter to be scalar, we derive the optimizations for linear transmit processing from the respective joint optimizations of transmit and receive filters. We can identify three filter types si...
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We consider the maximization of the overall power efficiency when communicating over a noisy single-input single-output channel while satisfying a certain throughput constraint. The total power dissipation includes th...
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Multiple antennas at the base station can be employed to serve multiple single-antenna users in the downlink of a system. When the number of active users K is larger than the number of transmit antennas M, the base st...
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The performance of MIMO systems and the usefulness of dedicated signalprocessing and channel coding techniques is strongly affected by presence of fading correlation. For instance, space-time block coding is favored ...
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We derive the minimum mean square error (MMSE) solution to vector preceding for frequency flat multiuser scenarios with a centralized multi-antenna transmitter. The receivers employ a modulo operation, giving the tran...
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In this paper, we consider the Block Conjugate Gradient (BCG) algorithm as a robust and reduced-rank implementation of the Matrix Wiener Filter (MWF). Stopping the BCG iterations before the algorithm converges, reduce...
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In this paper, we consider a reduced-complexity equalization method for turbo Multi-User Detection (MUD) in a frequency-selective Code Division Multiple Access (COMA) uplink scenario. The non-linear trellis-based dete...
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ISBN:
(纸本)9783800729470
In this paper, we consider a reduced-complexity equalization method for turbo Multi-User Detection (MUD) in a frequency-selective Code Division Multiple Access (COMA) uplink scenario. The non-linear trellis-based detector which is normally used in turbo receivers, is replaced by the Matrix Wiener Filter (MWF), the optimal linear filter based on the Mean Square Error (MSE) criterion. To further reduce the complexity, the Block Conjugate Gradient (BCG) algorithm is used to approximate the MWF in a low-dimensional Krylov subspace. Additionally, second order statistics of non-stationary random processes are approximated by their time-invariant averages. Simulation results show that embedding the suboptimal MWF in a turbo receiver does not lead to significant performance loss, while reducing the computational complexity enormously.
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