MULTI-PATH MITIGATION IN RANGEFINDING AND TRACKING OBJECTS USING REDUCED ATTENUATION RF TECHNOLOGY
First Claim
1. A system for tracking and locating wireless network devices, the system comprising:
- a multipath mitigation processor configured to receive and process reference signals of the wireless network;
the multipath mitigation processor using the reference signals to measure a distance between the wireless network devices;
wherein a high-resolution spectrum estimation analysis is used to reduce spatial ambiguity in the distance measurement, including estimating a model size for a number of frequency components, and calculating the distance based on a distribution of the frequency components;
wherein the system employs noise reduction methods that include any of coherent summing, non-coherent summing, matched filtering and temporal diversity; and
wherein a remainder of the multi-path interference error is further reduced by applying the post-processing techniques, including any of maximum likelihood estimation (Viterbi Algorithm) and minimal variance estimation (Kalman Filter).
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Abstract
A method and system for identification, tracking and locating in wireless communications and wireless networks. The method and system use reference and/or pilot signals that are present in wireless communications and wireless networks. The method and system might also use RTT, TOA and time-stamping measurements/techniques to determine one or more reference signals traveling time between the Base Station (eNB) or its functional equivalent and mobile device (UE) and or network device. Other wireless networks that do not use reference and/or pilot signals may employ one or more of the following types of alternate embodiments of present invention: 1) where a portion of frame is dedicated to the ranging signal/ranging signal elements; 2) where the ranging signal elements are embedded into (spread across) transmit/receive signals frame(s); and 3) where the ranging signal elements are embedded with the data. The method and system includes multi-path mitigations processor and multi-path mitigations techniques and algorithms which improve the track-locate accuracy. The method and system allow achieving increased accuracy by using multi-path mitigations processor and multi-path mitigations techniques and algorithms. The techniques of Digital Signal Processing and Software-Defined Radio are used.
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Citations
24 Claims
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1. A system for tracking and locating wireless network devices, the system comprising:
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a multipath mitigation processor configured to receive and process reference signals of the wireless network; the multipath mitigation processor using the reference signals to measure a distance between the wireless network devices; wherein a high-resolution spectrum estimation analysis is used to reduce spatial ambiguity in the distance measurement, including estimating a model size for a number of frequency components, and calculating the distance based on a distribution of the frequency components; wherein the system employs noise reduction methods that include any of coherent summing, non-coherent summing, matched filtering and temporal diversity; and wherein a remainder of the multi-path interference error is further reduced by applying the post-processing techniques, including any of maximum likelihood estimation (Viterbi Algorithm) and minimal variance estimation (Kalman Filter). - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A method for tracking and locating wireless network devices, the method comprising:
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configuring a multipath mitigation processor to receive and process a ranging signal of the wireless network; configuring a multipath mitigation processor to generate and transmit a ranging signal of the wireless network; using the ranging signal and the processor to measure a distance between the wireless network devices; and wherein a high-resolution spectrum estimation analysis is used to reduce spatial ambiguity in the distance measurement, including estimating a model size for a number of frequency components, and calculating the distance based on a distribution of the frequency components; and wherein the system employs noise reduction methods that include any of coherent summing, non-coherent summing, matched filtering and temporal diversity; and wherein a remainder of the multi-path interference error is further reduced by applying the post-processing techniques, including any of maximum likelihood estimation (Viterbi Algorithm) and minimal variance estimation (Kalman Filter). - View Dependent Claims (11, 12, 13, 14, 15, 16, 17)
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18. A system for tracking and locating wireless network devices, the system comprising:
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a multipath mitigation processor configured to receive and process a pilot signal of the wireless network; and means for using the pilot signal and the processor to measure a distance between the wireless network devices by utilizing a high-resolution spectrum estimation analysis to reduce spatial ambiguity in the distance measurement, including estimating a model size for a number of frequency components, and calculating the distance based on a distribution of the frequency components; and wherein the system employs noise reduction methods that include any of coherent summing, non-coherent summing, matched filtering and temporal diversity; and wherein a remainder of the multi-path interference error is further reduced by applying the post-processing techniques, including any of maximum likelihood estimation (Viterbi Algorithm) and minimal variance estimation (Kalman Filter). - View Dependent Claims (19, 20, 21, 22)
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23. A system for tracking and locating wireless network devices, comprising:
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a wireless receiver adapted to interface to wireless network devices to measure the Angle of Arrival (AOA) from a network device; wherein the wireless receiver is configured to receive signals from wireless network devices; wherein the wireless receiver is configured to interface to a multipath mitigation processor; wherein the received signals are used for measuring the AOA from a wireless network c device, and the multipath mitigation processor configured and process the received signals; wherein a high-resolution spectrum estimation analysis is used to reduce spatial ambiguity in the distance measurement, including estimating a model size for a number of multi-path frequency components, and calculating the distance based on a distribution of the frequency components; and wherein the system employs noise reduction methods that include any of coherent summing, non-coherent summing, matched filtering and temporal diversity; and wherein the system further reduces a remainder of the multi-path interference error by applying the post-processing techniques, including any of maximum likelihood estimation (Viterbi Algorithm) and minimal variance estimation (like Kalman Filter). - View Dependent Claims (24)
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Specification