A Novel Acquisition Technique of Spread Spectrum Signals Using Two Correct Cells Jointly
نویسندگان
چکیده
In this paper, a new pseudo noise (PN) code acquisition scheme for direct sequence spread spectrum (DS/SS) signals is proposed based on a joint decision rule of two correct cells ( cells) at which the code phase offset between the locally generated and received PN codes is within a desired small value. To derive the joint decision rule, the acquisition problem is modeled as a hypothesis testing problem and then the locally optimum (LO) test statistic is used for the problem. Finally, a novel acquisition technique is proposed based on the joint decision rule. The detection and mean acquisition time performances of the proposed acquisition scheme are analyzed and compared with those of a conventional acquisition scheme in which cells are individually used for detection. The numerical results show that the proposed scheme not only has better performance but also is more robust to the residual code phase offset variation than the conventional scheme.
منابع مشابه
Improving Long PN-Code Acquisition in the Presence of Doppler Frequency Shifts
Wireless communication is the major form of connection nowadays. In most cases it exploits the benefits of the spread spectrum techniques to overcome channel introduced corruptions like Doppler residual frequency, noise, interference and jamming. These techniques also enhance the security and quality of the link. Using long spreading pseudo-noise codes provides further security for the link tho...
متن کاملPerformance of Reverse-Link Packet Transmission in Mobile Cellular CDMA Networks
In this paper, a new pseudo noise (PN) code acquisition scheme for direct sequence spread spectrum (DS/SS) signals is proposed based on a joint decision rule of two correct cells ( cells) at which the code phase offset between the locally generated and received PN codes is within a desired small value. To derive the joint decision rule, the acquisition problem is modeled as a hypothesis testing...
متن کاملFeature Extraction of Visual Evoked Potentials Using Wavelet Transform and Singular Value Decomposition
Introduction: Brain visual evoked potential (VEP) signals are commonly known to be accompanied by high levels of background noise typically from the spontaneous background brain activity of electroencephalography (EEG) signals. Material and Methods: A model based on dyadic filter bank, discrete wavelet transform (DWT), and singular value decomposition (SVD) was developed to analyze the raw data...
متن کاملBlind Separation of Jointly Stationary Correlated Sources
The separation of unobserved sources from mixed observed data is a fundamental signal processing problem. Most of the proposed techniques for solving this problem rely on independence or at least uncorrelation assumption for source signals. This paper introduces a technique for cases that source signals are correlated with each other. The method uses Wold decomposition principle for extracting ...
متن کاملA two-stage acquisition scheme based on multiple correlator outputs for UWB signals
In ultra-wideband (UWB) channels, the signal energy in the acquisition receiver spreads over correlator outputs due to rich multipaths, making the output of each correlator have only a small portion of the total energy. To enhance the acquisition performance for UWB signals by exploiting the signals spread over a number of correlator outputs, this paper proposes a two-stage acquisition scheme. ...
متن کامل