GPS捷联惯导组合系统中的联邦滤波器研究

详细推导了 GPS 捷联惯导组合系统的模型,并以伪距、伪距率子滤波器为例,设计了有重置的联邦滤波器。在此基础上,通过修改信息分配算法,设计了改进的联邦滤波器。对两种联邦滤波器的仿真和分析表明,改进的联邦滤波器和常规的联邦滤波器相比,不仅滤波精度相同,而且简化了算法,减小了计算量,但两种算法本质相同。

基于伪距伪距率的GPS／SINS组合导航系统联邦滤波器设计

详细推导了GPS／SINS组合导航系统模型。为了充分利用GPS的信息构造了最多个数的伪距、伪距率子滤波器，设计了有重置的联邦滤波器。通过修改常规联邦滤波器的信息分配算法．提出了一种新的联邦滤波算法。分析表明，新联邦滤波算法和常规联邦滤波算法相比，有相同的估计作用以及较少的计算量，得出两种算法本质相同的结论。

DYNAMIC BANDWIDTH ALLOCATION ALGORITHM UTILIZING FULL BAND

A kind of Dynamic Full Bandwidth Utilized (DFBU) allocation algorithm is introduced. This algorithm allows a single link to use bandwidth far beyond its fair share bandwidth in a multi-service packet transporting system. Three important parameters as the bound on maximum and minimum bandwidth, the maximum packet delay and the minimum band width utilization are discussed and analyzed. Results of experiments show that the DFBU-algorithm is capable of making a single link in the system to use all the spare bandwidth (up to full-bandwidth) while the performance of fairness and QoS requirement is still guaranteed.

Resource Allocation for Physical Layer Security in Heterogeneous Network with Hidden Eavesdropper

The tremendous performance gain of heterogeneous networks(Het Nets) is at the cost of complicated resource allocation. Considering information security, the resource allocation for Het Nets becomes much more challenging and this is the focus of this paper. In this paper, the eavesdropper is hidden from the macro base stations. To relax the unpractical assumption on the channel state information on eavesdropper, a localization based algorithm is first given. Then a joint resource allocation algorithm is proposed in our work, which simultaneously considers physical layer security, cross-tier interference and joint optimization of power and subcarriers under fairness requirements. It is revealed in our work that the considered optimization problem can be efficiently solved relying on convex optimization theory and the Lagrangian dual decomposition method is exploited to solve the considered problem effectively. Moreover, in each iteration the closed-form optimal resource allocation solutions can be obtained based on the Karush-Kuhn-Tucker(KKT) conditions. Finally, the simulation results are given to show the performance advantages of the proposed algorithm.

Fairness Aware Rate Adaptation and Proportional Scheduling for IEEE 802.11 WLANs Using FSE

With its rapid development in the wireless markets, IEEE 802.11 WLAN is experiencing a huge popularity. However, due to the limitation of frequency bandwidth of WLANs, it is essential that the available radio resource should be fully utilized to offer different services to multiple users. In order to maximize system throughput while still guaranteeing the fairness among users, a proportional fairness based algorithm is proposed in this work. Since most of the previous resource allocation algorithms were simply based on the channel conditions without taking into account user's demand, in this paper, we introduce the theory of fuzzy synthetic evaluation(FSE) which also allows us to consider user's demand as an important factor. As such, the fairness among users can be improved based on different users' requirements for services. In addition, a channel state information based rate adaptation scheme is also proposed. Through simulation studies, the results clearly validate that our proposed scheme shows advantages on providing user fairness while still improving the system throughput.

GPS／SINS组合导航系统中的联邦滤波器研究

本文详细推导了GPS／SINS组合导航系统的模型，并以伪距、伪距率子滤波器为例，设计了有重置的联邦滤波器。在此基础上，通过修改信息分配算法，设计了改进的联邦滤波器。对两种联邦滤波器的仿真和分析表明，改进的联邦滤波器和常规的联邦滤波器相比，滤波精度相同，而计算量略小，得出了两种算法本质相同的结论。