Phase coherence filter

Pulse or digital communications – Receivers – Interference or noise reduction

Reexamination Certificate

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C375S348000

Reexamination Certificate

active

06320920

ABSTRACT:

FIELD OF THE INVENTION
This invention relates generally to devices for increasing the signal-to-noise ratio of signals, and in its preferred embodiments, to devices for improving the signal-to-noise ratio of composite signals including periodic and aperiodic signals.
BACKGROUND OF THE INVENTION
A fundamental problem in the field of signal processing is the removal of unwanted “noise” signals from combination with a desired, or base, signal. The unwanted noise signals often arise from one or more sources and become mixed with the desired signal, due to one or more different reasons, to define a composite signal. Often, the desired signal has a periodic waveform with a particular characteristic frequency (i.e., such desired signals being referred to herein as “periodic signals”), while the unwanted “noise” signals have aperiodic waveforms (i.e., such unwanted “noise” signals having aperiodic waveforms being referred to herein as “aperiodic signals”), periodic waveforms with characteristic frequencies different than the characteristic frequency of the desired signal, or waveforms which are out of phase with the desired signal. The presence of such noise signals with periodic signals that are communicated from one site to another frequently requires the use of increased transmitter power or larger receiving antennas to ensure accurate communication of the periodic signals.
Over the years, engineers working in the field of signal processing have grappled with the problem of removing unwanted noise signals from a composite signal in order to increase the signal-to-noise ratio (“SNR”) of a composite signal and have developed a number of techniques and systems for removing the unwanted noise signals. One such technique involves the use of systems which employ frequency filters that receive an incoming signal comprised of a desired signal and one or more noise signals (i.e., a composite input signal) and produce an outgoing signal which includes the desired signal and no noise signals or a reduced number of noise signals. In such cases, the desired signal has a characteristic frequency, while the unwanted noise signals have characteristic frequencies different than that of the desired signal. Frequency filters take advantage of the difference in frequencies by enabling passage of signals having frequencies above or below a threshold filtering frequency and by blocking passage of signals having frequencies conversely above or below the threshold filtering frequency.
While frequency filters function quite well in practice, they suffer from several disadvantages. First, in many cases, at least two stages of frequency filters must be employed to remove unwanted noise signals from a composite signal, thereby increasing the cost of a device which employs the frequency filters. The necessity of employing two stages of frequency filters arises because a first stage frequency filter is necessary to remove unwanted noise signals having frequencies below a threshold filtering frequency (i.e., the frequency of the desired signal) and a second stage frequency filter is necessary to remove unwanted noise signals having frequencies above a threshold filtering frequency. Second, in some cases, the desired signal and a noise signal have substantially the same characteristic frequency and, as a result, frequency filters cannot block passage of the noise signal without also blocking passage of the desired signal.
Another fundamental problem in the field of signal processing is the effects of time quantization that arise when digital sampling techniques are employed to minimize the transmission bandwidth required for communication of an analog signal. Such digital sampling techniques typically enable very accurate reproduction of the amplitude of the analog signal, but less than accurate reproduction of the waveform of the analog signal unless the analog signal is sampled many times per cycle. Digital transmission of the analog signal is, therefore, subject to a trade-off between the number of samples taken per cycle of the analog signal and the accuracy of the reproduction of the signal's waveform. The limit of sample economy is expressed by Nyquist's Theorem which states that a waveform cannot be appropriately represented and reproduced unless the waveform is sampled at least twice per cycle.
While in many applications the effects of time quantization are of little importance, the effects are very important in signal processing systems which reproduce human speech and music. Such systems must accurately reproduce speech and music because the human ear requires high-quality reproduction of analog signal waveforms. Unfortunately, because the accuracy of reproduction is limited by Nyquist's Theorem, a relatively large number of samples is required to produce the necessary accuracy.
Therefore, there is a need in the industry for a phase coherence filter which improves the signal-to-noise ratio of a composite signal, which enables accurate reproduction of a waveform using a lower sampling rate than that called for by Nyquist's Theorem, and which addresses these and other related, and unrelated, problems.
SUMMARY OF THE INVENTION
Briefly described, the present invention comprises an apparatus and method for improving the signal-to-noise ratio of a composite input signal having a desired signal and one or more undesired, noise signals mixed therewith. More specifically, the present invention includes a phase coherence filter which improves the signal-to-noise ratio of a composite input signal having a desired, periodic signal and an undesired, aperiodic signal by interfering a sample of the composite input signal taken at a current time during a current cycle of the periodic signal with one or more previous samples of the composite input signal taken at one or more respective previous times during one or more respective previous cycles of the periodic signal, where the periodic signal at the respective previous time(s) of the respective previous cycle(s) is in-phase with the periodic signal at the current time during the current cycle. During interference of the composite input signal, the periodic signal at the current time constructively interferes with the periodic signal at the respective previous, in-phase time(s) and the aperiodic signal at the current time, generally, destructively interferes (i.e., when a sufficient number of previous samples is employed) with the aperiodic signal at the respective previous time(s). A composite intermediate signal (i.e., having a periodic signal and, perhaps, an aperiodic signal) is produced by repeating the above-described interference process at different times during a current cycle of the periodic signal. Because the constructive interference of the periodic signal amplifies the periodic signal by an amount dependent upon the number of previous samples of the composite input signal which are employed in the interference process, the composite intermediate signal is attenuated to adjust its amplitude (i.e., to equal, or substantially correspond to, the amplitude of the composite input signal) and, hence, to produce a composite output signal. By destructively interfering the aperiodic signal present in the composite input signal and by attenuating any aperiodic signal present in the composite intermediate signal, the signal level of the aperiodic signal relative to the signal level of the periodic signal of the composite output signal is reduced substantially, thereby resulting in a composite output signal having an improved (or increased) signal-to-noise ratio as compared to the signal-to-noise ratio of the composite input signal.
In accordance with a first preferred embodiment of the present invention and in its most simple form, the phase coherence filter connects between a source of a digitized composite input signal and a destination of the digitized composite input signal and comprises a memory which connects to the source and receives a stream of digital, data samples representative of the composite input signal. Each data sample (also ref

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