DocumentCode :
821254
Title :
A double Nyquist digital product detector for quadrature sampling
Author :
Pellon, Leopold E.
Author_Institution :
Signal Process. & Comput. Syst., Moorestown, NJ, USA
Volume :
40
Issue :
7
fYear :
1992
fDate :
7/1/1992 12:00:00 AM
Firstpage :
1670
Lastpage :
1681
Abstract :
A technique for digitally obtaining the in-phase (I) and quadrature (Q) components of an IF signal is presented. Initially, the input bandpass signal is mixed to a carrier frequency that is one-fourth of the sampling rate of a single A/D converter. The digitized bandpass signal is converted into its I and Q components at one-half the A/D sample rate by a digital product detector (DPD) composed of a commutator, two sign alternators, and two FIR fractional-phase interpolator filters. This simple structure can yield image performance that is limited by A/D quantization using relatively low interpolator filter orders and IF bandwidths as large as one-half the sampling rate of the A/D converter. The DPD performs Nyquist limit demodulation of the sampled bandpass signal and, therefore, requires a minimal sampling rate. The theory of operation, an analytic proof, design methodology, and simulated performance results are presented. Simulated results show that -86 dB images can be obtained with 8-tap FIR interpolators and a 12 bit A/D converter. A VLSI implementation is also presented
Keywords :
analogue-digital conversion; digital filters; signal processing; A/D converter; FIR fractional-phase interpolator filters; IF signal; Nyquist limit demodulation; VLSI implementation; carrier frequency; commutator; double Nyquist digital product detector; image performance; in-phase components; input bandpass signal; minimal sampling rate; quadrature components; quadrature sampling; sampled bandpass signal; sign alternators; signal processing; Alternators; Band pass filters; Detectors; Digital filters; Finite impulse response filter; Frequency conversion; Image converters; Image sampling; Quantization; Sampling methods;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/78.143439
Filename :
143439
Link To Document :
بازگشت