A SFH spread spectrum synchronization algorithm for data broadcasting

Siu, Y.M.; Chan, W.S.; Leung, S.W.

doi:10.1109/11.920783

Cited by 10 publications

(4 citation statements)

References 11 publications

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“…The regular synchronisation process is divided into two stages: coarse acquisition and fine tracking [4]. Reference signals may be utilised to estimate these parameters [5][6][7][8][9], but they may not be available in all systems. Since the use of reference signals requires extra bandwidth, the bandwidth efficiency is reduced.…”

Section: Introductionmentioning

confidence: 99%

Blind iterative maximum likelihood‐based frequency and transition time estimation for frequency hopping systems

Chen

2013

IET Communications

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Section: Introductionmentioning

confidence: 99%

Blind iterative maximum likelihood‐based frequency and transition time estimation for frequency hopping systems

Chen

2013

IET Communications

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“…Regular synchronization is divided into two stages-coarse acquisition and fine tracking [1]. Reference signals may be used to estimate the parameters [2][3][4][5][6], but they may not be available in all cases. Moreover, since the usage of reference signals requires bandwidth, it reduces the bandwidth efficiency.…”

Section: Introductionmentioning

confidence: 99%

Robust Blind Frequency and Transition Time Estimation for Frequency Hopping Systems

Chen

2010

EURASIP J. Adv. Signal Process.

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In frequency hopping spread spectrum (FHSS) systems, two major problems are timing synchronization and frequency estimation. A blind estimation scheme is presented for estimating frequency and transition time without using reference signals. The scheme is robust in the sense that it can avoid the unbalanced sampling block problem that occurs in existing maximum likelihood-based schemes, which causes large errors in one of the estimates of frequency. The proposed scheme has a lower computational cost than the maximum likelihood-based greedy search method. The estimated parameters are also used for the subsequent time and frequency tracking. The simulation results demonstrate the efficacy of the proposed approach.

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“…During the recent years, a lot of research has been done on the intelligent transportation system (ITS) to handle with the increasing problems on the road such as highway congestion, accidents due to human errors, and difficulty in locating travel destinations [1,2]. Wireless data broadcast is a major sub-area of research for ITS applications, and gains more interests in the place where there are ever increasing demands for reliable and low cost distribution of information to the mass customers.…”

Section: Introductionmentioning

confidence: 99%

“…SS techniques such as direct sequence (DS) and frequency hopping (FH) have already been used in various commercial communication systems. However, due to their complexity and high cost, they are not suitable for the data broadcast applications in ITS [1]. The scheme proposed in this paper for data broadcast is based on one of the chaotic communication techniques, namely, chaotic parameter modulation.…”

Section: Introductionmentioning

confidence: 99%

A simple chaotic scheme for data broadcasting in intelligent transportation system

Li²,

Leung³

Proceedings IEEE 56th Vehicular Technology Conference

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In this paper, a practical chaos-based modulation scheme is proposed for data broadcasting in the intelligent transportation system (ITS). The data to be broadcasted is modulated into the chaos system by modifying the chaotic parameter. The transmitted chaotic signal has broadband performance. Based on the ergodicity of the chaotic signal, a simple chaotic parameter estimation method is used to estimate the parameter values and then to demodulate the information by a non-coherent demodulator. The proposed chaotic communication scheme called BPSK ergodic chaotic parameter modulation (BPSK-ECPM) reduces the complexity of the synchronization process of spread spectrum transmission and has a strong tolerance of the synchronization error. It is applicable for the real-time vehicle-to-vehicle and road-to-vehicle data broadcasting in ITS. It can be built by simple hardware with low manufacturing cost, which is one of the major considerations in the data broadcast systems.0-7803-7467-3/02/$17.00 ©2002 IEEE.

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A SFH spread spectrum synchronization algorithm for data broadcasting

Cited by 10 publications

References 11 publications

Blind iterative maximum likelihood‐based frequency and transition time estimation for frequency hopping systems

Blind iterative maximum likelihood‐based frequency and transition time estimation for frequency hopping systems

Robust Blind Frequency and Transition Time Estimation for Frequency Hopping Systems

A simple chaotic scheme for data broadcasting in intelligent transportation system

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