专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

1. 发明申请

US20220284270A1 SYSTEMS AND METHODS FOR MODULATION CLASSIFICATION OF BASEBAND SIGNALS USING MULTIPLE DATA REPRESENTATIONS OF SIGNAL SAMPLES 有权
公开(公告)号：US20220284270A1
公开(公告)日：2022-09-08
申请号：US17751194
申请日：2022-05-23
申请人： Motorola Solutions, Inc.
发明人： Stephen J. Govea , Nathanael P. Kuehner , David N. Taylor , Rodger W. Caruthers , Micah D. Silberstein , Gregory Agami
IPC分类号： G06N3/04 , H04L27/36 , H04L27/22 , H04L27/14 , H04L27/20 , H04L27/12
摘要： Systems and methods for classifying radio frequency signal modulations include receiving, at a consolidated neural network, a complex quadrature vector of interest representative of a baseband signal derived from a radio frequency signal, generating multiple data representations of the vector of interest, providing each data representation to one of multiple parallel neural networks in the consolidated neural network, and receiving, from the consolidated neural network, a classification result for the baseband signal. The consolidated neural network may be trained to classify baseband signals with respect to known modulation types by receiving complex quadrature training vectors, each including samples of a baseband signal derived from a radio frequency signal of known modulation type, comparing a classification result for the training vector to the known modulation type to determine modulation classification performance, and modifying a configuration parameter of the consolidated neural network dependent on the determined modulation classification performance.

2. 发明授权

US09042929B2 Trunked and broadband radio communication method and system 有权
标题翻译：中继和宽带无线电通信方法和系统
公开(公告)号：US09042929B2
公开(公告)日：2015-05-26
申请号：US13971200
申请日：2013-08-20
申请人： MOTOROLA SOLUTIONS, INC.
发明人： Nathanael P. Kuehner
IPC分类号： H04B7/00 , H04W72/04 , H04W4/08
CPC分类号： H04W72/048 , H04W4/08 , H04W4/10 , H04W40/00 , H04W84/08 , H04W88/06
摘要： A data communication system and a method of data communication. The method comprises receiving data associated with a plurality of users, wherein a first set of the plurality of users is located at a first location and a second set of the plurality of users is located at a second location. The method further comprises determining that the first set of users has access to both a broadband data communication system and a trunked radio system and that at least one user of the second set of users does not have access to the broadband data communication system. The data is then provided to the first set of users by the broadband data communication system and not the trunked radio system, and to the second set of users by the trunked radio system and not the broadband data communication system.
摘要翻译：数据通信系统和数据通信方法。所述方法包括接收与多个用户相关联的数据，其中所述多个用户的第一组位于第一位置，并且所述多个用户的第二组位于第二位置。该方法还包括确定第一组用户可以访问宽带数据通信系统和中继无线电系统，并且第二组用户的至少一个用户不能访问宽带数据通信系统。然后，数据通过宽带数据通信系统而不是集群无线电系统提供给第一组用户，并且通过集群无线电系统而不是宽带数据通信系统提供给第二组用户。

3. 发明授权

US11586879B2 Systems and methods for modulation classification of baseband signals using multiple data representations of signal samples 有权
公开(公告)号：US11586879B2
公开(公告)日：2023-02-21
申请号：US17751194
申请日：2022-05-23
申请人： Motorola Solutions, Inc.
发明人： Stephen J. Govea , Nathanael P. Kuehner , David N. Taylor , Rodger W. Caruthers , Micah D. Silberstein , Gregory Agami
IPC分类号： G06N3/04 , H04L27/36 , H04L27/22 , H04L27/14 , H04L27/20 , H04L27/12
摘要： Systems and methods for classifying radio frequency signal modulations include receiving, at a consolidated neural network, a complex quadrature vector of interest representative of a baseband signal derived from a radio frequency signal, generating multiple data representations of the vector of interest, providing each data representation to one of multiple parallel neural networks in the consolidated neural network, and receiving, from the consolidated neural network, a classification result for the baseband signal. The consolidated neural network may be trained to classify baseband signals with respect to known modulation types by receiving complex quadrature training vectors, each including samples of a baseband signal derived from a radio frequency signal of known modulation type, comparing a classification result for the training vector to the known modulation type to determine modulation classification performance, and modifying a configuration parameter of the consolidated neural network dependent on the determined modulation classification performance.

4. 发明申请

US20200327397A1 SYSTEMS AND METHODS FOR MODULATION CLASSIFICATION OF BASEBAND SIGNALS USING MULTIPLE DATA REPRESENTATIONS OF SIGNAL SAMPLES 审中-公开
公开(公告)号：US20200327397A1
公开(公告)日：2020-10-15
申请号：US16382912
申请日：2019-04-12
申请人： Motorola Solutions, Inc.
发明人： Stephen J. Govea , Nathanael P. Kuehner , David N. Taylor , Rodger W. Caruthers , Micah D. Silberstein , Gregory Agami
IPC分类号： G06N3/04 , H04L27/36 , H04L27/12 , H04L27/14 , H04L27/20 , H04L27/22
摘要： Systems and methods for classifying baseband signals with respect to modulation type include receiving, at a consolidated neural network whose objective is modulation classification performance, a complex quadrature vector of interest including multiple samples of a baseband signal derived from a radio frequency signal of unknown modulation type, generating multiple data representations of the vector of interest, providing each data representation to one of multiple parallel neural networks in the consolidated neural network, and receiving a classification result for the baseband signal based on combined outputs of the parallel neural networks. The consolidated neural network may be trained to classify baseband signals with respect to known modulation types by receiving complex quadrature training vectors, each including samples of a baseband signal derived from a radio frequency signal of known modulation type, and comparing a classification result for the training vector to the known modulation type to determine modulation classification performance.

5. 发明授权

US11443167B2 Systems and methods for modulation classification of baseband signals using multiple data representations of signal samples 有权
公开(公告)号：US11443167B2
公开(公告)日：2022-09-13
申请号：US16382912
申请日：2019-04-12
申请人： Motorola Solutions, Inc.
发明人： Stephen J. Govea , Nathanael P. Kuehner , David N. Taylor , Rodger W. Caruthers , Micah D. Silberstein , Gregory Agami
IPC分类号： G06N3/04 , H04L27/36 , H04L27/22 , H04L27/14 , H04L27/20 , H04L27/12
摘要： Systems and methods for classifying baseband signals with respect to modulation type include receiving, at a consolidated neural network whose objective is modulation classification performance, a complex quadrature vector of interest including multiple samples of a baseband signal derived from a radio frequency signal of unknown modulation type, generating multiple data representations of the vector of interest, providing each data representation to one of multiple parallel neural networks in the consolidated neural network, and receiving a classification result for the baseband signal based on combined outputs of the parallel neural networks. The consolidated neural network may be trained to classify baseband signals with respect to known modulation types by receiving complex quadrature training vectors, each including samples of a baseband signal derived from a radio frequency signal of known modulation type, and comparing a classification result for the training vector to the known modulation type to determine modulation classification performance.

6. 发明申请

US20150043539A1 CONCURRENT VOICE AND DATA SERVICE ON A SAME DIGITAL RADIO CHANNEL 有权
标题翻译：同一数字无线电频道上的同步语音和数据服务
公开(公告)号：US20150043539A1
公开(公告)日：2015-02-12
申请号：US13963293
申请日：2013-08-09
申请人： MOTOROLA SOLUTIONS, INC
发明人： THOMAS J. SENESE , Nathanael P. Kuehner , Todd A. Leigh , Harish Natarahjan , Robert J. Novorita , Mark Shahaf
IPC分类号： H04W4/20
CPC分类号： H04W4/20 , H04M11/06 , H04M11/066 , H04W4/10 , H04W76/45 , H04W76/50 , H04W84/08
摘要： A method, a subscriber unit, and a system provide concurrent voice and data systems and methods that “steal bits” from voice frames for low-speed concurrent data. In this manner, concurrent voice and data is supported over protocols that require voice-only in current operation such as Project 25 (P25). The stealing of bits from voice is done in a manner that is transparent and not noticeable to users. The systems and methods enable replication of signaling on the downlink and wireline segments that is replaced on the uplink, encoding of interleaving blocks that extend across multiple Layer 2 voice logical data units (LDUs), flexibility in replacing voice data in LDUs, indication of the availability of the service and an interleaving schedule, notification of upcoming stealing events via signaling, and the like.
摘要翻译：一种方法，一个用户单元和一个系统提供并发的语音和数据系统和方法，从低速并发数据的语音帧“窃取位”。以这种方式，通过协议需要并发语音和数据，这些协议仅需要现有操作中的语音（例如项目25（P25））。从语音窃取位是以透明的方式进行的，而用户不明显。这些系统和方法使得能够复制下行链路上的信令和在上行链路上被替换的有线线路段，跨越多个第2层语音逻辑数据单元（LDU）的交织块的编码，LDU中替换语音数据的灵活性，服务的可用性和交织计划，通过信令的即将到来的窃取事件的通知等。

7. 发明授权

US11477060B2 Systems and methods for modulation classification of baseband signals using attention-based learned filters 有权
公开(公告)号：US11477060B2
公开(公告)日：2022-10-18
申请号：US16385611
申请日：2019-04-16
申请人： Motorola Solutions, Inc.
发明人： Stephen J. Govea , Rodger W. Caruthers , Nathanael P. Kuehner
IPC分类号： H04L27/00 , G06N3/04 , G06N3/08 , H04L25/03
摘要： Systems and methods for classifying baseband signals include receiving, at a pre-processing stage of a neural network whose objective is modulation classification performance, a complex quadrature vector of interest including a plurality of samples of a baseband signal derived from a radio frequency signal of an unknown modulation type, providing the vector of interest to a plurality of FIR filters, each of which outputs a respective intermediate filtered version of the vector of interest, combining the outputs of two or more of the FIR filters to produce a filtered version of the vector of interest, including applying respective weightings to the outputs of the FIR filters, and providing the filtered version of the vector of interest to an analysis stage of the neural network for classification with respect to a plurality of known modulation types. The neural network may apply attention-based selection to learn the filters and respective weightings.

8. 发明申请

US20200336344A1 SYSTEMS AND METHODS FOR MODULATION CLASSIFICATION OF BASEBAND SIGNALS USING ATTENTION-BASED LEARNED FILTERS 审中-公开
公开(公告)号：US20200336344A1
公开(公告)日：2020-10-22
申请号：US16385611
申请日：2019-04-16
申请人： Motorola Solutions, Inc.
发明人： Stephen J. Govea , Rodger W. Caruthers , Nathanael P. Kuehner
IPC分类号： H04L27/00 , H04L25/03 , G06N3/08 , G06N3/04
摘要： Systems and methods for classifying baseband signals include receiving, at a pre-processing stage of a neural network whose objective is modulation classification performance, a complex quadrature vector of interest including a plurality of samples of a baseband signal derived from a radio frequency signal of an unknown modulation type, providing the vector of interest to a plurality of FIR filters, each of which outputs a respective intermediate filtered version of the vector of interest, combining the outputs of two or more of the FIR filters to produce a filtered version of the vector of interest, including applying respective weightings to the outputs of the FIR filters, and providing the filtered version of the vector of interest to an analysis stage of the neural network for classification with respect to a plurality of known modulation types. The neural network may apply attention-based selection to learn the filters and respective weightings.

9. 发明授权

US09001703B2 Scalable broadband group call via unicast downlink traffic consolidation and local re-broadcast 有权
标题翻译：通过单播下行流量合并和本地重播可扩展宽带组呼
公开(公告)号：US09001703B2
公开(公告)日：2015-04-07
申请号：US13674304
申请日：2012-11-12
申请人： Motorola Solutions, Inc.
发明人： Nathanael P. Kuehner
IPC分类号： H04L12/16 , H04Q11/00 , H04W4/06 , H04W4/10 , H04W76/00 , H04W4/02 , H04W88/04
CPC分类号： H04W4/06 , H04W4/023 , H04W4/10 , H04W76/45 , H04W88/04
摘要： A method, system, and device consolidate unicast downlinks in a broadband radio access network (RAN) for a requested group call. A subset of subscriber devices of the group in sufficiently close proximity is detected, one subscriber device in the subset is selected to act as a subscriber device to subscriber device broadcast downlink repeater (SD-BDR), and group call data is transmitted to each subscriber not in a subset via a separate unicast downlink, and to each subset via a single outbound unicast link to the selected subscriber device. The selected SD-BDR in each subset then re-broadcasts the group call data to the other members of the subset, thereby reducing outbound broadband resource usage in the broadband RAN.
摘要翻译：一种方法，系统和设备在针对所请求的群组呼叫的宽带无线电接入网络（RAN）中整合单播下行链路。检测到组中足够接近的用户设备的子集，该子集中的一个订户设备被选择为用户设备到订户设备广播下行中继器（SD-BDR），并且组呼呼叫数据被发送到每个用户不经由单独的单播下行链路在子集中，并且经由到所选用户设备的单个出站单播链路到每个子集。每个子集中所选择的SD-BDR然后将该组呼叫数据重新广播到该子集的其他成员，从而减少宽带RAN中的出站宽带资源使用。

你已经成功收藏专利！

检索式保存成功!

IPRDB

热门服务

关于我们

友情链接

联系方式