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IEEE International Symposium on Circuits and systems (ISCAS)

作者： Yi-Ran Sun S. Signell Laboratory of Electronics and Computer System LECS Institute of Microelectronics and Information Technology IMIT Royal Institute of Technology Stockholm Sweden

In this paper, generalized quadrature bandpass sampling (BPS) in voltage-mode with inherent FIR filtering is presented. By using the theory of sampling equivalence, this sampling strategy is comparable to another strategy, charge sampling with intrinsic IIR filtering. The theoretical analysis and simulation results show that this inherent FIR filtering not only has the advantage of rejecting or attenuating images and interference, but is also helpful in suppressing noise aliasing. A realizable implementation of the proposed sampling strategy by uniform quadrature BPS (UQBPS) promises to suppress noise aliasing in BPS systems to a large extent.

关键词： Finite impulse response filter Sampling methods Band pass filters IIR filters Image sampling Voltage Filtering theory Image analysis Analytical models Interference suppression

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Effects of Noise and Jitter in Bandpass Sampling

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Analog Integrated Circuits and Signal Processing 2004年第1期42卷 85-97页

作者： Sun, Yi-Ran Signell, Svante Laboratory of Electronics and Computer System (LECS) Institute of Microelectronics and Information Technology (IMIT) Royal Institute of Technology (KTH) Stockholm Sweden

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 Shannon’s reconstruction). Finally, signal reconstruction in the presence of noise and jitter are investigated for three Reconstruction Algorithms (RAs) aimed at NUS.

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Effects of noise and jitter on algorithms for bandpass sampling in radio receivers

Effects of noise and jitter on algorithms for bandpass sampl...

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IEEE International Symposium on Circuits and systems (ISCAS)

作者： Yi-Ran Sun S. Signell Laboratory of Electronics and Computer System (LECS) Institute of Microelectronics and Information Technology (IMIT) Royal Institute of Technology Stockholm Sweden

Bandpass sampling (BPS) is an undersampling technique by intentional aliasing. Conventional uniform discrete sampling within an f/sub s/ band normally results in a bad signal-to-noise ratio (SNR) due to signal spectrum aliasing. The noise combined in each of the f/sub s/ bands below the highest frequency of the signal (the so called noise spectrum aliasing) and timing jitter are two causes of performance degradation in BPS system. Nonuniform BPS has the potential to suppress signal spectrum aliasing due to the aperiodic property of nonuniform sampling (NUS). In this paper, the frequency spectra of uniform sampling (US) and NUS are analyzed, signal spectrum aliasing, noise spectrum aliasing and jitter effects in BPS are studied. Finally, the performance of reconstruction algorithms (RAs) for nonuniform BPS in the presence of sources of performance degradation are discussed based on simulations.

关键词： Jitter Sampling methods Receivers Frequency Degradation Signal to noise ratio Signal analysis Signal sampling Radio communication Bandwidth

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Algorithms for nonuniform bandpass sampling in radio receiver

Algorithms for nonuniform bandpass sampling in radio receive...

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IEEE International Symposium on Circuits and systems (ISCAS)

作者： Yi-Ran Sun S. Signell Laboratory of Electronics and Computer System (LECS) Institute of Microelectronics and Information Technology (IMIT) Royal Institute of Technology Stockholm Sweden

The bandpass sampling (BPS) technique enables one to have an interface between IF stage and ADC in a radio receiver. Nonuniform BPS has the potential to suppress aliasing without care about the information band position of a modulated signal. However, a signal cannot be reconstructed from its nonuniform samples by using only an ideal lowpass filter. In this paper, a filter is generalized to a reconstruction algorithm (RA). Six different algorithms for reconstructing a signal from its nonuniform samples are summarized. A general reconstruction formula in terms of a basis-kernel (BK) function is used to describe the algorithms. Finally, with regard to the application to radio communications, accuracy of reconstruction, computational complexity and hardware implementation are shown and compared for these algorithms.

关键词： Sampling methods Receivers Image reconstruction RF signals Hardware Radio communication Computational complexity Bandwidth Low pass filters Interpolation

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