In this paper,M-ary Quaternary Orthogonal Keying modulation(MQOK) is proposed based on the analysis of Complementary Code Keying(CCK) and Mary Bi-orthogonal Keying(MBOK).Besides,CCK can be defined as a kind of MQOK.By...In this paper,M-ary Quaternary Orthogonal Keying modulation(MQOK) is proposed based on the analysis of Complementary Code Keying(CCK) and Mary Bi-orthogonal Keying(MBOK).Besides,CCK can be defined as a kind of MQOK.By analyzing the performance of MQOK on the condition of additive white Gaussian noise(AWGN) channel,new closed-form formulae for CCK modulation are gained. Comparison between the numerical result and the simulation result confirms that these formulae are more accurate and practical to manipulate.展开更多
Signal-to-noise ratio(SNR)estimation for signal which can be modeled by Auto-regressive(AR)process is studied in this paper.First,the conventional frequency domain method is introduced to estimate the SNR for the rece...Signal-to-noise ratio(SNR)estimation for signal which can be modeled by Auto-regressive(AR)process is studied in this paper.First,the conventional frequency domain method is introduced to estimate the SNR for the received signal in additive white Gauss noise(AWGN)channel.Then a parametric SNR estimation algorithm is proposed by taking advantage of the AR model information of the received signal.The simulation results show that the proposed parametric method has better performance than the conventional frequency doma in method in case of AWGN channel.展开更多
The objective of this research is to track the phase changes in Binary Phase Shift Keying (BPSK) modulated signal in ZigBee communication systems using discrete Kalman Filter (KF). Therefore, Kalman Filtering is used ...The objective of this research is to track the phase changes in Binary Phase Shift Keying (BPSK) modulated signal in ZigBee communication systems using discrete Kalman Filter (KF). Therefore, Kalman Filtering is used to estimate and optimize the carrier phase of BPSK modulated signal, in the presence of Additive White Gaussian Noise (AWGN) channel, by minimizing the phase deviation error. Therefore, a simulation model, using MATLAB, will be created to demonstrate ZigBee transmission system with the impact of the integrated filter. The expected results will show that Kalman Filter tracks the phase of BPSK modulated signal correctly and the performance of tracking will be measured by Mean Square Error (MSE) with respect to Signal to Noise Ratio (SNR). This study proposes a new method of phase tracking in ZigBee receivers in the presence of AWGN channel which can be extended to Internet of Things (IoT) applications.展开更多
基金supported by the Research Fund of Army(KH2005-18)
文摘In this paper,M-ary Quaternary Orthogonal Keying modulation(MQOK) is proposed based on the analysis of Complementary Code Keying(CCK) and Mary Bi-orthogonal Keying(MBOK).Besides,CCK can be defined as a kind of MQOK.By analyzing the performance of MQOK on the condition of additive white Gaussian noise(AWGN) channel,new closed-form formulae for CCK modulation are gained. Comparison between the numerical result and the simulation result confirms that these formulae are more accurate and practical to manipulate.
基金supported by the National Natural Science Foundation of China under Grant No. 60372022Program for New Century Excellent Talentsin University under Grant No. NCET-05-0806
文摘Signal-to-noise ratio(SNR)estimation for signal which can be modeled by Auto-regressive(AR)process is studied in this paper.First,the conventional frequency domain method is introduced to estimate the SNR for the received signal in additive white Gauss noise(AWGN)channel.Then a parametric SNR estimation algorithm is proposed by taking advantage of the AR model information of the received signal.The simulation results show that the proposed parametric method has better performance than the conventional frequency doma in method in case of AWGN channel.
文摘The objective of this research is to track the phase changes in Binary Phase Shift Keying (BPSK) modulated signal in ZigBee communication systems using discrete Kalman Filter (KF). Therefore, Kalman Filtering is used to estimate and optimize the carrier phase of BPSK modulated signal, in the presence of Additive White Gaussian Noise (AWGN) channel, by minimizing the phase deviation error. Therefore, a simulation model, using MATLAB, will be created to demonstrate ZigBee transmission system with the impact of the integrated filter. The expected results will show that Kalman Filter tracks the phase of BPSK modulated signal correctly and the performance of tracking will be measured by Mean Square Error (MSE) with respect to Signal to Noise Ratio (SNR). This study proposes a new method of phase tracking in ZigBee receivers in the presence of AWGN channel which can be extended to Internet of Things (IoT) applications.
