Method and means for increasing inherent channel capacity for wired network

• US 20050069125A1
• Filed: 10/15/2004
• Published: 03/31/2005
• Est. Priority Date: 09/20/1999
• Status: Abandoned Application

• Current Assignee: Harry B. Smith
• Original Assignee: Harry B. Smith
• Inventors: Smith, Harry B.
• Application Number:
  US10/964,707
• Publication Number:
  US 20050069125A1
• Time in Patent Office: Days
• US Class Current: 379/395
• CPC Class Codes: H03M 1/207 using a digital interpolation circuit

Abstract

A receive system and method providing enhanced Signal to Noise performance is applicable to a wide variety of applications including both wireless and wireline systems which further include packetized-types of communications, such as the Internet. Received signals are converted to digital values and stored in a manner which enables subsequent processing directed to improving the resolution of the received signals and to reduce the associated noise corresponding to the received data samples. The Signal-to-Noise ratio of the received data signals is improved as a result of processing techniques made possible by the digitally stored nature of the received data and a unique iterative data processing method.

Claims

1. A communication system comprising:

a service provider providing a communication signal through a gateway, wherein the communication signal is multiplexed in order to route information; and

means for receiving an output signal from the gateway and enhancing the output signal using an iterative process which substantially lowers an amount of internal noise present in the output signal,

wherein the enhancement of the output signal is recognized by significant improvement in a digital error rate of the communication signal and increased channel density.

2. A communication receive system comprising:

a receive device that receives one or more communication signals containing digital data in the form of packets;

a multiplexing device that multiplexes the packets based on destination labels associated with the packets;

a digital-to-analog converter that converts the digital data to an analog signal;

a device that converts the analog signal to a combination digital signal that includes the digital data and noise generated within the receive system;

a processor that processes the combination digital signal using an iterative processing scheme to minimize the noise portion of the combination digital signal.

3. A system as claimed in claim 2, wherein the processor comprises:

means for forming a topological number array (TNA) for at least two successive samples of the combination digital signal, wherein the iterative processing scheme includes performing an iterative process on the data contained in the TNA to determine an estimate of the magnitude and polarity of the noise portion of the combination digital signal for each sample and wherein the iterative process consists at least of successively adding a series of equally spaced values to the data and determining a particular value that causes the noise portion to change polarity; and

means for subtracting each estimated noise value from the stored signal-plus-noise version to obtain a noise-reduced signal.

6. A system as claimed in claim 2, further comprising:

means for providing a carrier signal having a carrier frequency on the communication signals; and

means for processing the communication signals at the carrier frequency and providing a series of data frames.

7. A system as claimed in claim 6, further comprising a demodulation device that demodulates the series of data frames.

8. A system as claimed in claim 2, further comprising:

a bundle of individual wires carrying respective communication signals; and

means for reducing a level of uncorrelated crosstalk on a single wire of said bundle of wires.

9. A system as claimed in claim 2, wherein the use of signal repeaters is not required.

4. A communication receive system having one or more subsystems, each subsystem comprising:

one or more receive devices each receiving one or more communication signals containing digital data in the form of packets;

one or more multiplexing devices that multiplex the packets based on destination labels associated with the packets;

one or more digital-to-analog converters that convert the digital data to an analog signal;

one or more conversion devices that convert the analog signal to a combination digital signal that includes the digital data and noise generated within the receive system;

one or more processors that process the combination digital signal using an iterative processing scheme to minimize the noise portion of the combination digital signal,

wherein the subsystems are connected together and an overall system performance is increased by aggregating individual parametrical improvements associated with each subsystem.

5. A communication system as claimed in claim 4, wherein the parametrical improvements include one or more of, an increase in channel capacity of the subsystem, shorter access time associated with retrieving the data, increased range associated with the receipt of the communication signals and increased reliability associated with the data.

10. A method for enhancing data reliability in a packetized data system, said method comprising:

receiving one or more digital data signals on one or more respective wires, wherein the digital data signals comprise packetized data;

storing signal-plus-noise samples of the received digital data signals in a memory device, wherein each of the stored samples represents a corresponding sample of the received digital data signal and a corresponding arbitrary amount of noise;

forming at least one matrix from the stored signal-plus-noise samples, wherein the matrix comprises left and right topological groupings of different samples about a topocentric reference that corresponds to a zero voltage injection from stored voltage value injection patterns that comprise incremental successively increasing positive and negative values in each of a plurality of rows, each row having similar increments with the same topocentric zero reference;

performing an iterative process on the samples contained in the matrix, wherein the iterative process converges to determine an estimate of the magnitude and polarity of the noise portion of the signal-plus-noise sample; and

subtracting each estimated noise value from the stored signal-plus-noise sample to obtain a noise-reduced sample.

11. A method as claimed in claim 10, further comprising:

creating in-phase and quadrature digital versions of the received signals, wherein the in-phase and quadrature versions are about ninety degrees out of phase with respect to each other and wherein the contents of the matrix comprise the in-phase and quadrature versions of the receive signals.

12. A method as claimed in claim 10, further comprising:

incrementally adding or subtracting the successively increasing positive and negative values to or from the signal-plus-noise sample; and

detecting when the polarity of the noise portion of the signal-plus-noise sample changes from positive to negative or from negative to positive in response to the addition or subtraction of a particular value of the successively increasing positive and negative values.

13. A method as claimed in claim 10, wherein the received digital data signals comprise wide broadband signals having a virtually flat frequency response, thereby increasing channel capacity.