Abstract:
A communications receiver includes a noise analyzer to characterize the composition of the interference and/or distortion impressed onto a transmitted communications signal in the presence of one or more time-varying conditions. The noise analyzer may provide a selection signal indicating the composition of the interference and/or distortion impressed onto a transmitted communications signal in the presence of one or more time-varying conditions to be used by the communications receiver. In an exemplary embodiment, the communications receiver selects at least one set of filter coefficients to compensate for the interference and/or distortion impressed onto a transmitted communications signal in the presence of a particular time-varying interference and/or distortion condition. In another exemplary embodiment, the communications receiver selects a corresponding interference cancellation filter bank to compensate for the interference and/or distortion impressed onto a transmitted communications signal in the presence of the particular time-varying interference and/or distortion condition.
Abstract:
Upstream frequency response measurement and characterization. Signaling is provided between respective communication devices within a communication system. Based upon at least one of these signals, one of the communication devices captures a number of sample sets corresponding thereto at different respective frequencies (e.g., a different respective center frequencies, frequency bands, etc.). Then, spectral analysis is performed with respect to each of the sample sets to generate a respective and corresponding channel response estimate there from. After this number of channel response estimates is determined, they are combined or splice together to generate a full channel response estimate. In implementations including an equalizer, different respective sample sets may correspond to those that have undergone equalization processing and those that have not.
Abstract:
Spectrum analysis (SA) capability is included in various communication devices within a communication network. One or more of the devices use the SA information from other devices in the system to determine status of various communication links were devices in the system. One or more processors within one or more devices can identify any actual/existing or expected failure or degradation of the various components within the system. Such components may include communication devices, communication channels or links, interfaces, interconnections, etc. When an actual/existing or expected failure or degradation is identified, the affected components may be serviced or devices within the system may operate to mitigate any reduction in performance caused by such problems. Such SA functionality/capability may be implemented in one communication device or in a distributed manner across a number of devices in a communication system.
Abstract:
Spectrum analysis (SA) capability is included in various communication devices within a communication network. One or more of the devices use the SA information from other devices in the system to determine status of various communication links were devices in the system. One or more processors within one or more devices can identify any actual/existing or expected failure or degradation of the various components within the system. Such components may include communication devices, communication channels or links, interfaces, interconnections, etc. When an actual/existing or expected failure or degradation is identified, the affected components may be serviced or devices within the system may operate to mitigate any reduction in performance caused by such problems. Such SA functionality/capability may be implemented in one communication device or in a distributed manner across a number of devices in a communication system.
Abstract:
A method of managing traffic in a communications channel includes the steps of receiving a subscriber ID corresponding to a subscriber, performing a spectral analysis on a signal received from the subscriber within a time interval identified by the subscriber ID, and adjusting transmission characteristics of the subscriber based on the spectral analysis.
Abstract:
A communication device is configured to perform symbol mapping of bits to generate modulation symbols using one or more modulations. The device may employ a blended modulation composed of bit labels or symbols having different numbers of bits per symbol and different modulations. For example, the device may symbol map bit labels/symbols having first number of bits per symbol to first modulation, and the device may symbol map labels/symbols having second number of bits per symbol to second modulation. The device may be configured to perform forward error correction (FEC) or error correction code (ECC) and coding of information bits to generate coded bits that subsequently undergo symbol mapping. The device may be configured to operate based on different operational modes based on substantially uniform steps of rates, or bits per symbol, and energy per bit or symbol to noise spectral density ratio (Eb/N0 or Es/N0).
Abstract:
A communication device is configured to perform symbol mapping of bits to generate modulation symbols using one or more modulations. The device may employ a blended modulation composed of bit labels or symbols having different numbers of bits per symbol and different modulations. For example, the device may symbol map bit labels/symbols having first number of bits per symbol to first modulation, and the device may symbol map labels/symbols having second number of bits per symbol to second modulation. The device may be configured to perform forward error correction (FEC) or error correction code (ECC) and coding of information bits to generate coded bits that subsequently undergo symbol mapping. The device may be configured to operate based on different operational modes based on substantially uniform steps of rates, or bits per symbol, and energy per bit or symbol to noise spectral density ratio (Eb/N0 or Es/N0).
Abstract:
Distortion and aliasing reduction for digital to analog conversion. Synthesis of one or more distortion terms made based on a digital signal (e.g., one or more digital codewords) is performed in accordance with digital to analog conversion. The one or more distortion terms may correspond to aliased higher-order harmonics, distortion, nonlinearities, clipping, etc. Such distortion terms may be known a priori, such as based upon particular characteristics of a given device, operational history, etc. Alternatively, such distortion terms may be determined based upon operation of a device and/or based upon an analog signal generated from the analog to conversion process. For example, frequency selective measurements made based on an analog signal generated from the digital to analog conversion may be used for determination of and/or adaptation of the one or more distortion terms. One or more DACs may be employed within various architectures operative to perform digital to analog conversion.
Abstract:
Distortion and aliasing reduction for digital to analog conversion. Synthesis of one or more distortion terms made based on a digital signal (e.g., one or more digital codewords) is performed in accordance with digital to analog conversion. The one or more distortion terms may correspond to aliased higher-order harmonics, distortion, nonlinearities, clipping, etc. Such distortion terms may be known a priori, such as based upon particular characteristics of a given device, operational history, etc. Alternatively, such distortion terms may be determined based upon operation of a device and/or based upon an analog signal generated from the analog to conversion process. For example, frequency selective measurements made based on an analog signal generated from the digital to analog conversion may be used for determination of and/or adaptation of the one or more distortion terms. One or more DACs may be employed within various architectures operative to perform digital to analog conversion.
Abstract:
Measurement of intermodulation products of digital signals. One or more devices, within a communication system, having and analog to digital converter (ADC) with a sufficiently wide frequency response as to capture not only a signal of interest, but many other signals simultaneously, allows for appropriate signal processing of such captured samples to identify one or more intermodulation products that may exist as a function of the relationship of one or more frequencies. For example, composite second order (CSO) or composite triple beat (CTB), or even higher ordered signals, may occur within various communication systems. These effects may be caused by any of a number of sources including nonlinearities in the system, such as affects associated with laser clipping, amplifier compression, corroded connectors, etc. Appropriate processing is performed determine the existences of such intermodulation product signals, and, if desired, subsequent signal processing and/or fixing of such effects therein is performed.