A method for facilitating an equalization of a simulcast signal comprising: (a) receiving a simulcast signal comprising known data simulcast from at least two different sites; (b) generating a number of simulated simulcast signals, each simulated simulcast signal being based on at least two sites transmitting said known data with a presumed time delay, each simulated simulcast signal having a different presumed time delay; (c) determining which of said simulated simulcast signals is an optimum simulated simulcast signal that correlates most closely to said simulcast signal; and (d) providing time delay data of said optimum simulated simulcast signal for use in equalization of said simulcast signal.
Adaptive Channel Tracking Using Peak Fade Depth Estimation Over A Slot
Peak fade depth is measured () over a period of time, and a bandwidth of a channel filter () is then determined () according to the measured peak fade depth (). In preferred embodiments the average peak fade depth over two or more time slots is used. In a specific embodiment, an α filter () is used to determine the bandwidth of the matched filter (), in which α is determined based upon the measured peak fade depth (). In various embodiments, peak fade depth is correlated to the Doppler shifting of the channel, which in turn is used to determine the bandwidth of the matched filter by way of the α parameter. Hence, a non-linear equation can be used to determine the value of α which yields a minimum bit error rate for the matched filter (). More specifically, a matched filter () is matched to a received signal r(t) having k states according to a plurality of matched filters Mand outputs a signal given by |r(t)−C(t)*M(t)|, in which C(t) is a channel estimate provide by a channel tracker () for a state k at time period t that is given by C(t)=α*c(t)+(1−α)*C(t−1), c(t)=M*r(t)/(M*conj(M)), and conj(M) is the complex conjugate of M. For each time slot, α is computed from the running average of the peak fade depth () according to a predetermined equation ().
Estimating Time Delays In A Simulcast Communication System
A method for facilitating an equalization of a simulcast signal comprising: (a) receiving a simulcast signal comprising known data simulcast from at least two different sites; (b) generating a number of simulated simulcast signals, each simulated simulcast signal being based on at least two sites transmitting said known data with a presumed time delay, each simulated simulcast signal having a different presumed time delay; (c) determining which of said simulated simulcast signals is an optimum simulated simulcast signal that correlates most closely to said simulcast signal; and (d) providing time delay data of said optimum simulated simulcast signal for use in equalization of said simulcast signal.
Communications System Providing Enhanced Channel Switching Features Based Upon Modulation Fidelity And Related Methods
A wireless communications system includes a base station, and a communications device configured to communicate with the base station via different wireless communications channels using a modulation standard wherein a received modulation differs from a transmitted modulation (e.g., due to environmental conditions) as measured by a modulation fidelity value. The base station and the communications device are configured to cooperate to determine respective modulation fidelity values associated with a current channel and an alternate channel based upon an estimated modulation fidelity calculated from the received modulation, and to selectively switch between the current channel and the alternate channel based upon the determined modulation fidelity values.
Mac L. Hartless - Sauquoit NY Alan L. Johnson - Utica NY
Assignee:
General Electric Company - Utica NY
International Classification:
G06K 930
US Classification:
382 41
Abstract:
A location dependent signal processor for radiant energy detector arrays which include two-dimensional spatial filtering and/or background normalizing, with means providing programmed control of the signal processor filter weighting and normalizer thresholding operations as a function of the location of each successive output pixel with respect to the periphery of the detector array, so as to enable the signal processor to minimize the effects of initialization and wrap-around pixels on the processor signal output.
Adaptive Site Scanning Based On Fade Base Estimation
Mac Hartless - Forest VA William O. Janky - Goode VA
Assignee:
Ericsson Inc. - Research Triangle Park NC
International Classification:
H04Q 720
US Classification:
455434
Abstract:
Methods and systems for controlling site scanning of a wireless device by adjusting the rate at which the wireless device site scans based on whether the wireless device is in motion. Furthermore, this determination may be made by determining a fade rate and then basing the rate of site scanning on this determined fade rate. Preferably, the rate at which the wireless device site scans proportionally to the fade rate. Multiple thresholds of fade rate may be used to adjust the site scanning rate to provided multiple site scanning rates.
Method And Apparatus For Compensating For Click Noise In An Fm Receiver
Mac L. Hartless - Forest VA David W. Brown - Concord VA David P. Cullen - Lynchburg VA John V. Hughes - Carbondale IL Darryl W. Royster - Lynchburg VA
Assignee:
Ericsson Inc. - Research Triangle Park NC
International Classification:
H04B 1500
US Classification:
455506
Abstract:
These and other objects of the present invention are achieved using an Adaptive Multi-Path Filter (AMPF) which eliminates audibly objectionable click noise generated at the output of an FM discriminator to prevent audible distortion or other corruption of the desired signal which may include voice and low speed digital data. Clicks are detected at the discriminator output using a colored-noise, matched filter designed and adapted to the click signature/shape as well as to the desired signal characteristics. The colored-noise matched, filter output is then compared to an adaptive threshold. When the threshold is exceeded, a click is registered as detected. Click duration is then estimated. An estimate of the desired signal is generated and that replaces the originally received data signal estimate within the click duration region. Using characteristics of the desired signal just before and after the detected click noise, the adaptive filter accurately estimates the parameters of the desired signal so that the replacement signal fairly models what the desired signal would have looked like had the click not occurred.
L3Harris Technologies
Senior Scientist
Macom
Senior Principal Engineer
Ericsson 1996 - 2001
Senior Principal Engineer
Education:
Syracuse University 1979 - 1991
Doctorates, Doctor of Philosophy, Electrical Engineering
Syracuse University College of Engineering and Computer Science 1981 - 1991
Syracuse University 1979 - 1982
Master of Science, Masters, Communications, Engineering, Electronics
Oregon State University 1974 - 1979
Bachelors, Bachelor of Science, Physics, Engineering
Madison High School
Syracuse University
Masters, Master of Science In Electrical Engineering
Skills:
Rf Program Management Systems Design Engineering Management Systems Engineering Embedded Systems Electronics Testing Wireless System Architecture Integration Software Engineering Embedded Software Telecommunications Cross Functional Team Leadership Engineering Simulations Matlab Software Development Radio Frequency Wireless Technologies