Receiver architecture for new radio systems
US-11863216-B2 · Jan 2, 2024 · US
US10659095B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10659095-B2 |
| Application number | US-201715712768-A |
| Country | US |
| Kind code | B2 |
| Filing date | Sep 22, 2017 |
| Priority date | Nov 21, 2012 |
| Publication date | May 19, 2020 |
| Grant date | May 19, 2020 |
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A circuit for direct current (DC) offset estimation comprises a quantile value circuit and a signal processor. The quantile value circuit determines a plurality of quantile values of an input signal and includes a plurality of quantile filters. Each quantile filter includes a comparator, a level shifter, a monotonic transfer function component, and a latched integrator. The comparator compares the input signal and a quantile value. The level shifter shifts the output of the comparator. The monotonic transfer function component determines the magnitude of the shifted signal and provide a transfer function signal. The latched integrator suppresses transient characteristics of the transfer function signal and provide the quantile value. The signal processor is configured to calculate a weighted average of the quantile values to yield a DC offset estimate.
Opening claim text (preview).
Having thus described various embodiments of the invention, what is claimed as new and desired to be protected by Letters Patent includes the following: 1. An apparatus for classifying a signal as one of noise and a predetermined type of event comprising a plurality of symbols subjected to predetermined channel noise regimes, each regime represented by one or more of a plurality of temporal attributes, the apparatus comprising: a receiver configured to estimate a density function of the signal and sample the density function at a plurality of points; and a signal processor connected to the receiver and configured to determine a maximum number of the regimes and a minimum number of the regimes through a clustering technique, initialize a plurality of clusters corresponding to the plurality of sampled points, based upon the maximum and minimum numbers, process, through a clustering technique, a signal value corresponding to each of the regimes by updating parameters maintained for a cluster of the plurality of clusters, calculate a plurality of statistical values from the updated parameters, and classify the signal based upon the plurality of statistical values and the updated parameters. 2. The apparatus of claim 1 , wherein the receiver includes a plurality of sensors, each sensor configured to sample a waveform of the density function at a different point on the waveform. 3. The apparatus of claim 2 , wherein each sensor is further configured to sample the density function at a different frequency. 4. A method of classifying a signal as one of noise and a predetermined type of event comprising a plurality of symbols subjected to predetermined channel noise regimes, each regime represented by one or more of a plurality of temporal attributes, the method comprising the steps of: estimating a density function of the signal; sampling the density function at a plurality of points; determining a maximum number of the regimes and a minimum number of the regimes through a clustering technique; initializing a plurality of clusters corresponding to the sampled points, based upon the maximum and minimum numbers; processing, through a clustering technique, a signal value corresponding to each of the regimes by updating parameters maintained for a cluster; calculating a plurality of statistical values from the parameters maintained for the clusters; and classifying the signal based upon the plurality of statistical values and the parameters. 5. The method of claim 4 , wherein the density function includes a probability density function or a cumulative distribution function.
for homodyne or synchrodyne receivers (demodulator circuits H03D1/22) · CPC title
using DC offset compensation techniques · CPC title
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