公开(公告)号：WO2006068862A8

公开(公告)日：2006-11-16

申请号：PCT/US2005044794

申请日：2005-12-12

Applicant: RF MICRO DEVICES INC

Inventor： LINSKY JOEL B ,  MILLER BRIAN

IPC: H03D1/00 ,  H04B1/10

CPC classification number: H04L25/0206 ,  H04B1/715 ,  H04B17/336

Abstract: A system and method for classifying channels in a frequency hopping wireless communication system is provided. A data collection engine operates to obtain channel metrics indicating the level of interference for each channel used by the wireless communication system. A data analysis engine operates to provide a channel map for adaptive frequency hopping (AFH) and/or a channel map for channel avoidance. More specifically, the data analysis engine first operates to filter the channel metrics to remove channel metrics indicative of frequency hopping interference. Next, the channels are divided into a number of channel blocks each including at least two adjacent channels. For each channel block, the channel metrics of the channels within the channel block are combined to provide a metric sum. The data analysis engine then operates to classify each channel as usable or unusable based on the metric sums for each of the channel blocks.

Abstract translation: 提供了一种用于对跳频无线通信系统中的信道进行分类的系统和方法。 数据收集引擎操作以获得指示由无线通信系统使用的每个信道的干扰水平的信道度量。 数据分析引擎操作以提供用于自适应跳频（AFH）的频道映射和/或用于信道回避的频道映射。 更具体地，数据分析引擎首先操作以过滤信道度量以去除指示跳频干扰的信道度量。 接下来，通道被分成多个通道块，每个通道块包括至少两个相邻的通道。 对于每个信道块，将信道块内的信道的信道度量组合以提供度量和。 然后，数据分析引擎基于每个信道块的度量和操作将每个信道分类为可用或不可用。

公开(公告)号：WO2006068862A3

公开(公告)日：2007-05-03

申请号：PCT/US2005044794

申请日：2005-12-12

Applicant: RF MICRO DEVICES INC

Inventor： LINSKY JOEL B ,  MILLER BRIAN

IPC: H03D1/00 ,  H04B1/10

CPC classification number: H04L25/0206 ,  H04B1/715 ,  H04B17/336

Abstract: A system and method for classifying channels in a frequency hopping wireless communication system is provided. A data collection engine operates to obtain channel metrics (30) indicating the level of interference for each channel used by the wireless communication system. A data analysis engine (32) operates to provide a channel map for adaptive frequency hopping (AFH) (26) and/or a channel map for channel avoidance (24). More specifically, the data analysis engine first operates to filter the channel metrics to remove channel metrics indicative of frequency hopping interference. Next, the channels are divided into a number of channel blocks each including at least two adjacent channels. For each channel block, the channel metrics of the channels within the channel block arc combined to provide a metric sum. The data analysis engine then operates to classify each channel as usable or unusable based on the metric sums for each of the channel blocks.

Abstract translation: 提供了一种用于对跳频无线通信系统中的信道进行分类的系统和方法。 数据收集引擎操作以获得指示由无线通信系统使用的每个信道的干扰水平的信道度量（30）。 数据分析引擎（32）操作以提供用于自适应跳频（AFH）（26）的频道图和/或用于频道回避的频道图（24）。 更具体地，数据分析引擎首先操作以过滤信道度量以去除指示跳频干扰的信道度量。 接下来，通道被分成多个通道块，每个通道块包括至少两个相邻的通道。 对于每个信道块，信道块内的信道的信道度量被组合以提供度量和。 然后，数据分析引擎基于每个信道块的度量和操作将每个信道分类为可用或不可用。

公开(公告)号：CA2592105C

公开(公告)日：2012-04-10

申请号：CA2592105

申请日：2005-12-12

Applicant: RF MICRO DEVICES INC

Inventor： LINSKY JOEL B ,  MILLER BRIAN

IPC: H03D1/00 ,  H04B1/10

Abstract: A system and method for classifying channels in a frequency hopping wireless communication system is provided. A data collection engine operates to obtain channel metrics (30) indicating the level of interference for each channel used by the wireless communication system. A data analysis engine (32) operates to provide a channel map for adaptive frequency hopping (AFH) (26) and/or a channel map for channel avoidance (24). More specifically, the data analysis engine first operates to filter the channel metrics to remove channel metrics indicative of frequency hopping interference. Next, the channels are divided into a number of channel blocks each including at least two adjacent channels. For each channel block, the channel metrics of the channels within the channel block arc combined to provide a metric sum. The data analysis engine then operates to classify each channel as usable or unusable based on the metric sums for each of the channel blocks.

公开(公告)号：CA2592105A1

公开(公告)日：2006-06-29

申请号：CA2592105

申请日：2005-12-12

Applicant: RF MICRO DEVICES INC

Inventor： LINSKY JOEL B ,  MILLER BRIAN

IPC: H03D1/00 ,  H04B1/10

Abstract: A system and method for classifying channels in a frequency hopping wireless communication system is provided. A data collection engine operates to obtain channel metrics indicating the level of interference for each channel used by the wireless communication system. A data analysis engine operates to provide a channel map for adaptive frequency hopping (AFH) and/or a channel map for channel avoidance. More specifically, the data analysis engine first operates to filter the channel metrics to remove channel metrics indicative of frequency hopping interference. Next, the channels are divided into a number of channel blocks each including at least two adjacent channels. For each channel block, the channel metrics of the channels within the channel block are combined to provide a metric sum. The data analysis engine then operates to classify each channel as usable or unusable based on the metric sums for each of the channel blocks.

公开(公告)号：BRPI0519730A2

公开(公告)日：2009-03-10

申请号：BRPI0519730

申请日：2005-12-12

Applicant: RF MICRO DEVICES INC

Inventor： LINSKY JOEL B ,  MILLER BRIAN

IPC: H03D1/00 ,  H04B1/10

Abstract: A system and method for classifying channels in a frequency hopping wireless communication system is provided. A data collection engine operates to obtain channel metrics indicating the level of interference for each channel used by the wireless communication system. A data analysis engine operates to provide a channel map for adaptive frequency hopping (AFH) and/or a channel map for channel avoidance. More specifically, the data analysis engine first operates to filter the channel metrics to remove channel metrics indicative of frequency hopping interference. Next, the channels are divided into a number of channel blocks each including at least two adjacent channels. For each channel block, the channel metrics of the channels within the channel block are combined to provide a metric sum. The data analysis engine then operates to classify each channel as usable or unusable based on the metric sums for each of the channel blocks.