Effects of Noise and Jitter in Bandpass Sampling

BandPass Sampling (BPS) is an undersampling technique by intentional aliasing. BPS enables one to have an interface between the IF stage and the ADC in a radio receiver. Conventional uniform BPS at Nyquist rate normally results in a low Signal-to-Noise Ratio (SNR) due to noise spectrum aliasing. The noise (e.g. kT/C noise introduced in a voltage-mode sampler) is combined in each of the Nyquist bands within the bandwidth of the sampling device. Also timing jitter causes a performance degradation in BPS.In this paper, signal spectrum aliasing, noise aliasing and jitter effects in BPS is analyzed. It is verified by simulation that NonUniform Sampling (NUS) has the potential to suppress signal spectrum aliasing and relax the requirement on the anti-aliasing (AA) filter. Jitter effects in BPS are compared to LowPass Sampling (LPS) case. However, a signal cannot be reconstructed from its nonuniform samples by using only ideal lowpass filtering (classic Shannons reconstruction). Finally, signal reconstruction in the presence of noise and jitter are investigated for three Reconstruction Algorithms (RAs) aimed at NUS.Yi-Ran Sun received her bachelor degree in physics in 1998 and master degree in Electronic engineering in 2002 in China and in Sweden, respectively. She is currently pursuing the Ph.D. degree in electronic engineering at Royal Institute of Technology (KTH), Stockholm. Her current research interests are in the area of mixed-signal system design in radio receiver front-ends. Of special focus is bandpass sampling technique and corresponding area of signal processing.Svante Signell (M 95) received the Dr. Sc. degree from the Royal Institute of Technology (KTH) Stockholm, Sweden, in 1987, in the area of periodically time-varying linear systems with applications to filters.From 1987 to 1991, he was with ABB HAFO, working on mixed-signal system-on-chip design, mainly in the area of hearing aids and pacemakers. Between 1991 and 2003, he was with Ericsson Radio working with technology research for base stations and signal processing for future wireless systems. He has been holding various positions such as project leader and as an expert on analog and digital signal processing at the company level.Since 1988, he has been involved as a Consultant to companies such as ABB Hafo, Ericsson Radio, Ericsson Telecom, Siemens Elema, and Standard Radio & Telefon, as well as course developer and lecturer in courses held at companies and universities. Since the beginning of 2000, he is an Adjunct Professor in Mixed Signal System Design at KTH.He has authored around 50 papers published in international conference proceedings and magazines and holds eight patents, with more pending. He has been reviewer for IEEE magazines and conferences, program committee member, expert reviewer for a European Commission project 1997–2001, and reviewer for national research programs on both project and program level. His main research interests include, but are not limited to, systems-on-chip (SoC), software-defined radio (SDR) and critical technologies for the realization of SoC and SDR, in particular, on how to find the best combination of analog and digital signal processing.