Yin Zhendong

A decision-level data fusion based multiuser detection method for DS-UWB systems

In this paper, the decision-level data fusion techniques are extended to the multiuser detection (MUD) field. Then a novel MUD algorithm that is the combine application decision-level fusion criterion (CA-DFC) based MUD algorithm is proposed for DS-UWB communication systems. In CA-DFC based method, the combine detectors can make decisions among the preliminary decisions from sub-optimal detectors by a special rule. Simulation results demonstrate that the performances of CA-DFC based MUD algorithms are superior to those of other sub-optimal MUD algorithms, and even close to that of OMD. Moreover, the proposed algorithm have lower computational complexity than OMD, which reveals their efficiency. Compared with CA-DFC based algorithm achieves a little improvement in its performance, at the cost of the increment in its computational complexity. Thus, they can be applied to different practical situations.

Cross-Layer Power Control of Ad Hoc Network Based on Ant Colony Optimization

This paper studies the power control mechanism of MAC layer and network layer of ad hoc network and proposes a cross-layer power control model which absorbs ant colony optimization in it. After getting the minimum sending power between each two nodes, the virtual central node can find network topology by Ant Colony Optimization (ACO) in network layer, then each pair of communication nodes adaptively adjust the current optimal sending power according to the exchange of information between nodes in link layer to realize the cross-layer power control. The simulation results show that in ad hoc network, the power control mechanism can quickly find the optimal path and effective reduce the energy and power consumption of nodes.

A FPGA Implementation of MMSE MUD Algorithm for TDRSS

Multiple user satellites monitor is an important technology which can improve both the monitoring network coverage and the capacity of multi-target signal processing. Multi user detection (MUD) is one of the key technology for multiple user satellites communication. In this paper, a new algorithm for MUD is implemented on field-programmable gate array (FPGA). This FPGA design is based on the minimum mean square error (MMSE) algorithm which consists of two main components: Matched filter and minimum mean square error matrix. Additionally, in order to conduct Monte Carlo simulation, we adopt a way which based on Mat lab, UART and FPGA platform.

A research on adaptive digital filtering and digital demodulation based on software radio architecture

A new method of adaptive digital filtering and digital demodulation based on software radio architecture and used in the remote sensing system is proposed in this paper. Compared with the method once widely used, analog/digital phase lock loop, the new system, as all SWR systems, has three obvious characteristics: easily reconfigured, good flexibility, and modulation. The new method mentioned here makes the digital filtering and the digital demodulation processor of the SWR receiver recover useful signal perfectly. The signal can be immediately recovered on the first one-bit-level jump if the signal is under the state of unlocking without the synchronization building time of the normal DPLL. The new adaptive demodulation method based on SWR architecture can be widely used in almost every remote sensing systems

A research on adaptive PCM clock recovering

A new kind of digital adaptive bit synchronizer used in remote sensing systems is proposed in this paper. Compared with the method once widely used, the analog/digital phase lock loop, the new adaptive PCM bit synchronizer can obtain bit synchronization signal on condition that the frequency of the input digital signal is unknown. The phase can be immediately relocked on the first bit-level jump if the signal is under the state of unlocking without the synchronization building time of the normal DPLL. The adaptive bit synchronizer can be widely used in almost every remote sensing system.