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Articles
by
Lu Zhaogan |
Total Records (
8 ) for
Lu Zhaogan |
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Lu Zhaogan
,
Wang Liejun
,
Zhang Taiyi
and
Runping Yun
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The combination of Multiple-Input Multiple-Output (MIMO) signal processing with Orthogonal Frequency Division Multiplexing (OFDM) is regarded as a promising solution for enhancing the data rates of next-generation wireless communication systems operating in frequency-selective fading environments. However, when the length of MIMO OFDM symbols is larger than that of wireless channel delay, two intractable issues should be resolved before their applications in cellular fast fading channel scenarios with large numbers of users, i.e., the bandwidth overhead of channel estimation and the challenge to construct large numbers of orthogonal training sequences. So, a new design scheme of training sequence in time domain, is adopted to conduct channel estimation in MIMO OFDM systems, which works as a generations of Steiner method in multi-user CDMA uplink scenarios. Training sequences of different transmit antennas, can be simply obtained by truncating the circular extension of one basic training sequence and the pilot matrix assembled by these training sequences is one circular matrix with good reversibility. Furthermore, when the length of channel profiles is less than that of MIMO OFDM symbols, more bandwidth resources can be saved, as the training sequence only occupies a part of one MIMO OFDM symbol. Numerical results of bandwidth overheads and channel estimations, indicate the proposed method can save abundant bandwidth and achieve good channel estimation accuracy when compared with classical frequency and time domain approaches, respectively. |
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Wang Liejun
,
Jia Zhenhong
and
Lu Zhaogan
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Support Vector Machines (SVMs) and Multi-Resolution Analysis (MRA) both
have been developed for solving signal approximation problem. Replacing
the approximation criterion of MRA by which be used in SVMs, multi-resolution
signal decomposition and approximation algorithm based on SVMs can be
derived. The advantage of this algorithm not only reduces the approximation
error by introducing structure risk, but also has better smoothness of
approximation function. Experiment illustrates that this algorithm has
better approximation performance than conventional MRA when applying it
to the approximation of stationary signal. |
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Liu Zunxiong
,
Xu Zheng
,
Feng Xingle
and
Lu Zhaogan
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In current 4G system given in recent literatures, channel
estimation overhead and complexity of Multi-User Detectors (MUD), may
lead to bad performance in fast fading channel scenarios when large number
of users exists. So, a novel 4G system with TDD/TDMA as duplex and wireless
access is designed to reduce channel estimation spending and avoid MUD,
as only one user can be active to communicate with base station. Under
the requirement of 4G systems, radio frame structure is elaborately designed
to fit for fast fading channel scenarios. The system architecture with
consideration of link adaptations for a novel eigenmodes coupled universal
space-time codes, is given and evaluated for performance of TDD/TDMA 4G
systems. Results show the proposed TDD/TDMA 4G can meet the requirement
of 4G system under the classical ITU channel profiles. |
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Lu Zhaogan
and
Liu Long
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Up to now, the dynamic scene echo simulator for radio detector is still difficult to implementation with computer simulation. In this report, one dynamic scene implementation scheme was presented which was based on the radio detector scene models constructed by 3ds Max (3D studio Max) 2010. The idea is that the scene could be set up with more geometric data, material properties and other auxiliary information. Then, the scene must be converted into geometric data files and VRML 97 format files. The two file are actually the data version and VRML version and could be used separately from 3ds Max 2010. Thus, they could be integrated into the simulator constructed by our research project. During the simulation progress, the objects in the scene could have different location and movement states. And, these location and movement information could be updated timely in the geometric data files and VRML 97 scenes. Thus, the dynamic scene could be displayed by most VRML 97 browsers when the simulation last for a period time. At last, the echo simulator of radio detector verified the dynamic scene. |
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Lu Zhaogan
,
Yang Yuye
and
Wei Qing
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During the design and development of proximity radio detector
for proximity detecting in the range about 20 m, various test and debug would
be involved with dedicated echo signal. However, its
difficult to obtain. This study is devoted to the echo signal simulation for
the dedicated s. One signal simulation scheme for proximity radio detector is
outlined for the signal from dedicated s. According to the signal model of radio
detector transceivers, the echo signal is evaluated under the case of dynamic
scenes constructed by professional 3 day modeling software. The simulation scheme
could realize the independency of scene modeling, movement control and simulating
algorithm, and have good generalization and extensibility. The simulator was
constructed into an independent echo simulating block, which could be integrated
with common used system simulating software. Finally, one simulating instance
indicated that the simulated echo waveform could reflect the signal changes
during the process of radio detector meetings. |
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Lu Zhaogan
and
Wan Jinliang
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With the wide spread of WiFi hotspot in the area flooded by
a lot of populations, i.e., Mall, city squares and railway stations, many WiFi
hotspots are deployed by the shop stores and telecommunication providers. However,
the concentrated excessive WiFi hotspot would lead to the interfering among
the hotspots in the areas and the network speed is slowed down. Here, the network
performance in the high density WiFi hotspot areas is analyzed and the relative
techniques about interfering cancellation are presented in details. Finally,
the possible solutions about WiFi hotspot management as the effective approaches
are also proposed in the review. |
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Lu Zhaogan
and
Sun Jiangfeng
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Up to now, the support vector machine theory had been widely used to face detection by reason of its good capability to deal with non-linear high-dimension training problems by small samples. In fact, a large number of facial images were needed to train the support vector machine algorithms, whose complexity were increased by geometric series with training image numbers. So, the hybrid Monte Carlo method and Bayesian support vector machine were combined to find way out for the problems of high-dimension and long training time. The training method of support vector machine was implemented by the hybrid Monte Carlo method. Then, the scheme was verified by experiments that long training time was avoided and good face detection could also be reached. |
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Lu Zhaogan
and
Bao Zhiguo
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By the reasons of the bad accuracy of drawbacks of current
image searching algorithms, the difficulties and uncertainties of image blocking
procedures, one image searching algorithm with the partition of multiple scales
and levels is proposed in this study, which is conducted by the classic wavelet
multiple scale and level decomposition algorithm. According to the algorithm,
the interest objects would be found in the image partitions at different levels
with different scales, where the Gabor texture features, main colors and color
invariant moments were used as the metric of image searching results. Based
the numerical evaluation results with classical histogram and invariant moment
approaches, the image searching accuracy is improved from 66 and 68-77% by the
algorithm with feasible implementation. |
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