Sangjin Hong

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In this paper, we propose novel resampling algorithms with architectures for efficient distributed implementation of particle filters. The proposed algorithms improve the scalability of the filter architectures affected by the resampling process. Problems in the particle filter implementation due to resampling are described, and appropriate modifications of(More)
In the recent past, there has been a tremendous increase in the popularity of VoIP services as a result of huge growth in broadband access. The same voice-over-Internet protocol (VoIP) service poses new challenges when deployed over a wireless mesh network, while enabling users to make voice calls using WiFi phones. Packet losses and delay due to(More)
As the multimedia applications such as Voice over IP (VoIP) and Audio/Visual (AV) streaming across the Internet emerge, many are working on the network architecture to extend such applications to the wireless networking domain. The emerging IEEE 802.11e Quality-ofService (QoS)-enabled Wireless LAN (WLAN) is considered a strong candidate for the air(More)
Particle filtering is a statistical signal processing methodology that has recently gained popularity in solving several problems in signal processing and communications. Particle filters (PFs) have been shown to outperform traditional filters in important practical scenarios. However their computational complexity and lack of dedicated hardware for(More)
Newly developed resampling algorithms for particle filters suitable for real-time implementation are described and their analysis is presented. The new algorithms reduce the complexity of both hardware and DSP realization through addressing common issues such as decreasing the number of operations and memory access. Moreover, the algorithms allow for use of(More)
In this work, we focus on increasing network utilization to support real-time applications, especially voice over IP, in 802.11b wireless mesh network. For increasing capacity, we investigate on two directions: use of packet aggregation and utilize of header compression. Although aggregation reduces 802.11 MAC overhead, it also increases delay. We present a(More)
This paper evaluates the behavioral effect of RObust Header Compression (ROHC) and packet aggregation in multi-hop wireless mesh networks. ROHC itself shows around 20% achieved rate improvement on a line of wireless link even if as the number of mesh router increases, total achieved rate gradually decreases. Packet aggregation cooperating with ROHC provides(More)
This paper presents a reconfigurable particle filter design methodology for a real-time bearings-only tracking application. The methodology provides the capability of selecting a single particle filter from multiple particle filter realizations with maximum resource sharing. The autonomous buffer controller mechanism for the architecture ensures correct(More)