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公开(公告)号:US20240337744A1
公开(公告)日:2024-10-10
申请号:US18297483
申请日:2023-04-07
发明人: Weimin DUAN , Jing JIANG , Kangqi LIU
CPC分类号: G01S13/584 , G01S7/414 , G01S13/288 , G01S13/34
摘要: Disclosed are systems and techniques for wireless communications. For example, a network device can transmit a sensing signal for sensing one or more targets. The transmitted sensing signal and at least one sensing signal transmitted by at least one other network device of the plurality of network devices includes one or more phase codes and a same frequency modulated carrier wave (FMCW). Each phase code of each sensing signal corresponds to one or more Doppler spectrum patterns. The network device can receive at least one echo signal from the one or more targets. The network device can mitigate Doppler ambiguity in a Doppler spectrum from the at least one echo signal based on the one or more Doppler spectrum patterns.
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公开(公告)号:US20240288546A1
公开(公告)日:2024-08-29
申请号:US18582826
申请日:2024-02-21
摘要: When sensing is performed in a radio access network, clutter may be removed from echo signals using clutter contributing signals, that may be determined based on clutter calibration matrices and one-dimensional echo signals obtained by transforming multi-dimensional representations of echo signals at least partly into the one-dimensional echo signals. When generating, for example, clutter calibration matrices, sensing results may be transformed into one dimensional vectors, that are arranged to two-dimensional matrices. Vectors associated with clutter components in two-dimensional matrices may be used to obtain the clutter calibration matrices.
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公开(公告)号:US11906616B2
公开(公告)日:2024-02-20
申请号:US17381658
申请日:2021-07-21
申请人: XIDIAN UNIVERSITY
发明人: Lan Du , Zengyu Yu , Xiaoyang Chen , Zenghui Li , Chunxin Wang
CPC分类号: G01S13/449 , G01S7/354 , G01S7/356 , G01S7/414
摘要: The present disclosures discloses a method of target feature extraction based on millimeter-wave radar echo, which mainly solves the problems that techniques in the prior art cannot fully utilize raw radar echo information to obtain more separable features and cannot accurately distinguish targets with similar physical shapes and motion states. The method is implemented as follows: acquiring measured data of targets, generating an original RD map, and removing ground clutter of the map; sequentially performing target detection, clustering and centroid condensation on the RD map after the ground clutter removal; acquiring a continuous multi-frame RD maps and carrying out the target tracking; according to the tracking trajectory, selecting candidate areas and extracting features based on a single piece of RD map and features based on two successive RD maps, respectively.
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公开(公告)号:US11885870B2
公开(公告)日:2024-01-30
申请号:US17260078
申请日:2019-07-30
申请人: University of Kansas , The United States of America as represented by the Secretary of the Air Force
IPC分类号: G01S13/524 , G01S7/288 , G01S7/292 , G01S7/41
CPC分类号: G01S13/5242 , G01S7/288 , G01S7/2923 , G01S7/414 , G01S7/415 , G01S7/418
摘要: The present application discloses a new form of μ-STAP, referred to herein as post μ-STAP or Pμ-STAP, which overcomes the drawbacks associated with existing μ-STAP techniques. The Pμ-STAP techniques described herein facilitate the generation of additional training data and homogenization after pulse compression. For example, Pμ-STAP techniques may apply a plurality of homogenization filters to a pulse compressed datacube generated from an input radar waveform, which produces a plurality of new pulse compressed datacubes with improved characteristics. Unlike existing μ-STAP techniques described above, which require pre-pulse compressed data to operate, the Pμ-STAP techniques disclosed in the present application are designed to utilize pulse compressed data, and therefore may be readily applied to legacy radar systems.
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公开(公告)号:US20230393239A1
公开(公告)日:2023-12-07
申请号:US17833266
申请日:2022-06-06
发明人: Gavin Tomas WATKINS
摘要: A radar system comprising: a transmit path; a receive path; an antenna coupled to the transmit path and the receive path; a self-interference cancellation component coupled between the transmit path and the receive path; and a tuning component coupled to the self-interference cancellation component. The tuning component configured to: obtain information identifying a first position of the antenna; determine a tuning parameter based on the information identifying the first position; and transmit the tuning parameter to the self-interference cancellation component. The self-interference cancellation component configured to: apply self-interference cancellation to a first signal received via the receive path based on: the tuning parameter; and a second signal transmitted via the transmit path.
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公开(公告)号:US11754675B2
公开(公告)日:2023-09-12
申请号:US16279711
申请日:2019-02-19
CPC分类号: G01S7/414 , G01S7/2921 , G01S7/411 , G01S13/88 , G01S13/887 , G01S13/888
摘要: Various examples are provided related to penetrating radar based upon precursors. In one example, a method includes transmitting a radio frequency (RF) signal; and receiving a return signal associated with the RF signal, where the return signal is a precursor having no exponential decay. The precursor can be one of a sequence of precursors, which can be used to improve resolution of the system. The RF signal can be a short pulse generated by an RF front end, without automatic level control. The return signal can be processed without filtering.
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公开(公告)号:US11754673B2
公开(公告)日:2023-09-12
申请号:US17124247
申请日:2020-12-16
申请人: NXP USA, Inc.
发明人: Filip Alexandru Rosu
IPC分类号: G01S13/931 , G01S7/41 , G01S7/292 , G01S13/524 , G01S7/40
CPC分类号: G01S7/4004 , G01S7/2927 , G01S7/4052 , G01S7/414 , G01S13/5244 , G01S13/931 , G01S7/4091 , G01S2013/932 , G01S2013/9322 , G01S2013/93271
摘要: A vehicle radar system, apparatus and method use a radar control processing unit generate compressed radar data signals, to apply the compressed radar data signals to a log detector to generate log detector sample values, and to generate a first log cell-average constant false alarm rate (CA-CFAR) threshold from the log detector sample values by computing and adding an average sample value SAVG from the log detector sample values, a probability of false alarm factor α, and a log CA-CFAR correction factor β, where the first log CA-CFAR threshold may be used with a second log CA-CFAR threshold to generate an ordered statistics CA-CFAR threshold for the compressed radar data signals by sorting the first and second log CA-CFAR thresholds by magnitude to form a sorted list of log CA-CFAR thresholds, and then selecting a kth threshold from the sorted list of log CA-CFAR thresholds as the OS-CA-CFAR threshold.
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公开(公告)号:US11747436B2
公开(公告)日:2023-09-05
申请号:US17020931
申请日:2020-09-15
发明人: Karthik Subburaj , Karthik Ramasubramanian , Sriram Murali , Sreekiran Samala , Krishnanshu Dandu
IPC分类号: G01S7/292 , G01S13/88 , G01S13/00 , G01S7/35 , G01S13/34 , G01S7/03 , G01S7/02 , G01S7/41 , G01S13/04
CPC分类号: G01S7/292 , G01S7/023 , G01S7/038 , G01S7/354 , G01S7/414 , G01S13/003 , G01S13/343 , G01S13/88 , G01S7/356 , G01S7/358 , G01S13/04
摘要: A noise-mitigated continuous-wave frequency-modulated radar includes, for example, a transmitter for generating a radar signal, a receiver for receiving a reflected radar signal and comprising a mixer for generating a baseband signal in response to the received radar signal and in response to a local oscillator (LO) signal, and a signal shifter coupled to at least one of the transmitter, LO input of the mixer in the receiver and the baseband signal generated by the mixer. The impact of amplitude noise or phase noise associated with interferers, namely, for example, strong reflections from nearby objects, and electromagnetic coupling from transmit antenna to receive antenna, on the detection of other surrounding objects is reduced by configuring the signal shifter in response to an interferer frequency and phase offset.
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公开(公告)号:US11733352B2
公开(公告)日:2023-08-22
申请号:US17174992
申请日:2021-02-12
申请人: Robert Bosch GmbH
发明人: Gor Hakobyan , Markus Gonser
IPC分类号: G01S7/42 , H04B7/0413 , G01S7/28 , G01S7/41
CPC分类号: G01S7/42 , G01S7/2813 , G01S7/414 , H04B7/0413
摘要: A MIMO radar system. The system includes transmitter and receiver arrays, and a control and evaluation unit, designed to: transmit transmission signals according to a time and frequency multiplex scheme in each of multiple repeatedly implemented measuring cycles, the time space and frequency space being divided into non-overlapping time slots and frequency sub-bands and only one single transmitting antenna being active in each time slot and transmitting in only one single frequency sub-band, carry out preliminary distance estimations and Doppler estimations, each based on signals of an individual transmitting antenna, in a first evaluation stage based on signals received in one measuring cycle, and carry out joint distance, Doppler, and angle estimations using a multi-dimensional estimation algorithm in a second evaluation stage based on phases of the signals transmitted by various transmitting antennas, results of the first evaluation stage being refined by increasing the accuracy and/or by eliminating ambiguities.
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公开(公告)号:US11693090B2
公开(公告)日:2023-07-04
申请号:US17650661
申请日:2022-02-10
发明人: Yang Zheng , Izzat H. Izzat
IPC分类号: G01S7/41 , G01S17/894 , G05D1/02 , G06V20/56 , G06F18/22 , G06F18/2136 , G06V10/764 , G06V10/82
CPC分类号: G01S7/414 , G01S17/894 , G05D1/0251 , G05D1/0257 , G05D1/0278 , G06F18/2136 , G06F18/22 , G06V10/764 , G06V10/82 , G06V20/56 , G05D2201/0213
摘要: This document describes “Multi-domain Neighborhood Embedding and Weighting” (MNEW) for use in processing point cloud data, including sparsely populated data obtained from a lidar, a camera, a radar, or combination thereof. MNEW is a process based on a dilation architecture that captures pointwise and global features of the point cloud data involving multi-scale local semantics adopted from a hierarchical encoder-decoder structure. Neighborhood information is embedded in both static geometric and dynamic feature domains. A geometric distance, feature similarity, and local sparsity can be computed and transformed into adaptive weighting factors that are reapplied to the point cloud data. This enables an automotive system to obtain outstanding performance with sparse and dense point cloud data. Processing point cloud data via the MNEW techniques promotes greater adoption of sensor-based autonomous driving and perception-based systems.
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