BPSK Modulation-Based Local Oscillator-Free IQ Demodulation for Millimeter Wave Imaging

The precision of local oscillator (LO) signal in in-phase and quadrature (IQ) demodulation strongly affects the imaging performance of millimeter wave (mmWave) radars. Therefore, to eliminate the requirement for high-precision LO, a simple yet effective digital IQ demodulation method has been proposed with the aid of a specified sampling scheme in order to eliminate the demand for LO. Based on the bandpass sampling theorem, the characteristic of the intermediate frequency signal of mmWave imaging indicates that the LO is unrequired if the sampling rate is twice of the frequency of the carrier of the intermediate signal. In this way, the in-phase signal would be directly and accurately obtained by performing the Binary-Phase-Shift-Keying (BPSK) modulation on the samples, based on which the IQ demodulation would be completed by using the Hilbert transform. The proposed method does not employ LO and thus simplifies the demodulation process and is suitable for implementation in a Field-Programmable Gate Array (FPGA) with fewer hardware resources. To verify the method, a three-dimensional mmWave radar imaging is carried out at the 30-34 GHz bandwidth, where the sampling and digital IQ demodulation are realized by an ADC (AD9250) and FPGA (XC7K325T), respectively. The results show a simplified transceiver with lower requirements and the prospect of the proposed method being applied in radar imaging and other related fields.

An Efficient BPSK Modulation and Demodulation Scheme with the Complete Removal of Fading

A novel non-coherent <i>BPSK</i> modulation and demodulation scheme is proposed to remove both slow and fast fading completely. We formulate a compound function that reflects the different characteristics of both slow and fast fading and prove that the scheme can remove fading from the function completely. The scheme is reified by a simple architecture that can remove slow and fast phase shifts completely from the received signals. It is shown by using analytical model and numerical data that the proposed scheme outperforms other ones significantly under the presence of both slow and fast fading. The analytical results also show that the proposed scheme can work well even with a small sampling rate, resulting in a wireless device with low energy consumption.

An Efficient BPSK Modulation and Demodulation Scheme with the Complete Removal of Fading

A novel non-coherent <i>BPSK</i> modulation and demodulation scheme is proposed to remove both slow and fast fading completely. We formulate a compound function that reflects the different characteristics of both slow and fast fading and prove that the scheme can remove fading from the function completely. The scheme is reified by a simple architecture that can remove slow and fast phase shifts completely from the received signals. It is shown by using analytical model and numerical data that the proposed scheme outperforms other ones significantly under the presence of both slow and fast fading. The analytical results also show that the proposed scheme can work well even with a small sampling rate, resulting in a wireless device with low energy consumption.

Effect of Atmospheric Turbulences on BPSK

FSO (Free-Space Optical Communications) is a type of optical communication that is transmitted over an open space. The irradiance fluctuation in a clear atmosphere is caused by Temperature variations in the atmosphere are minor but erratic. As a result, the Signal-to-Noise Ratio (SNR) is reduced, and performance is reduced. BPSK has the best performance when scintillation is not considered. Thus, BPSK is investigated in this work under the impact of air turbulence and meteorological variables. The comparison of BPSK modulation scheme is done by simulating turbulence in Log Normal and Negative Exponential Channel.

Transmission of BPSK in UWB using MATLAB

Ultra Wide Band (UWB) is a promising technology for sensor networks, broadband wireless data accessing, positioning and location finding applications. This project outlines the development and validation of a single transmitter and receiver system across the multipath channel. We have designed and tested a UWB simulator using MATLAB to operate for a continuous wave. After a brief survey BPSK was chosen to be the modulation technique. This paper outlines the basic design and simulation of a BPSK signal through the UWB. The system parameters and the simulation runs are shown and described along with the BER calculations. The time domain and frequency domain study is shown and analyzed of a IR-UWB channel with the transmitter, channel and the receiver blocks. This model compares and analyses the bit efficiency of a channel, for a BPSK modulation technique for various bit powers. The example simulation uses rudimental inputs to visualize the response of the channel.

Power Estimation of QPSK and BPSK Modulation Systems for FPGAs based on IP Modeling for Wireless Applications

FPGA market has expanded due to its adoption in mobile phones and wearable devices. The communication IP blocks in Field Programmable Gate Array (FPGAs) has made it possible to realize different communication systems. However, in spite of their high performance, FPGAs suffers from high power consumption due to their complex architecture as compared to their ASIC counterpart. This has made power estimation as an important design metric. The existing commercial tools provide the option to estimate the power, but at the cost of longer estimation time as the designs have to follow the complete design cycle. Moreover, literature, mostly focuses on power estimation of individual blocks and power estimation of the complete system is still in infancy stage. Therefore, in this work, Quadrature Phase Shift Keying (QPSK) and Binary Phase Shift Keying (BPSK) modulation systems have been designed that are used in various wireless and satellite communication applications. Further, a new identity is proposed that could evaluate the power of whole system. The QPSK and BPSK systems have been designed via embedded IP and user-defined IP cores. A power estimation model of diverse blocks of QPSK and BPSK modulation systems have been developed based on a supervised machine learning technique using MATLAB R2016b and models are validated against commercial tool. Finally, the power of complete QPSK and BPSK modulation system is estimated using the proposed identity and is also validated for accuracy with reference to Vivado 2014.2 tool targeted to the Zynq family device and state of the art work. It has been seen from the results that the proposed identity outperforms in power estimation of complete systems as compared to existing identities available in literature and is providing aligned results with reference to the commercial tool.

Simulasi Direct Sequence Spread Spectrum (DSSS) Pada Modulasi Binary Phase Shift Keying (BPSK)

Spread spectrum is a data transmission technique that spreads out information spectrum energy signals in a frequency band that is much larger than the minimal spectrum. One of the spread spectrum techniques is Direct Sequence Spread Spectrum (DSSS). This research was built the simulation of DSSS on Binary Phase Shift Keying (BPSK) modulation using MATLAB software. The simulation results of this DSSS simulation are displaying information wave signals, PN codes, signals that have been added with PN codes, signals modulated with BPSK, modulation signals that have been added with AWGN noise, demodulation signals, DSSS output signals and BER vs SNR graphics on the channel AWGN. The simulator of DSSS on BPKS in this research have been running according to the DSSS signal order flow and theoretical concept. Keywords: AWGN, BPSK , DSSS, PN Code, PN Sequence