公开(公告)号：US20120238220A1

公开(公告)日：2012-09-20

申请号：US13485538

申请日：2012-05-31

Applicant: Ke Lin Du ,  Wai Ho Mow

Inventor： Ke Lin Du ,  Wai Ho Mow

IPC: H04B17/00

CPC classification number: H04B17/345

Abstract: Spectrum sensing in wireless communications is provided to identify utilized and/or unutilized frequency bands reserved for primary users using a cyclostationary beamforming approach. An adaptive cross self-coherent restoral (ACS) algorithm can be utilized to extract signals of interest (SOI) at unique cycle frequencies related to primary and/or secondary users from an antenna array measurement. Based on the SOI, one or more users of the spectrum can be identified or the spectrum can be regarded as vacant; this can be based on lobe identification in the frequency spectrum of the SOI, in one example. This mechanism is less complex than traditional cyclic spectrum analysis methods. The cyclostationary beamforming based approach is more effective than the energy detection method. Also, the need for quiet periods in spectrum sensing is eliminated when using this mechanism such that signals can be transmitted simultaneously with receiving signals over the antenna array.

公开(公告)号：US08213868B2

公开(公告)日：2012-07-03

申请号：US12425754

申请日：2009-04-17

Applicant: Ke Lin Du ,  Wai Ho Mow

Inventor： Ke Lin Du ,  Wai Ho Mow

IPC: H04B1/00

CPC classification number: H04B17/345

Abstract: Spectrum sensing in wireless communications is provided to identify utilized and/or unutilized frequency bands reserved for primary users using a cyclostationary beamforming approach. An adaptive cross self-coherent restoral (ACS) algorithm can be utilized to extract signals of interest (SOI) at unique cycle frequencies related to primary and/or secondary users from an antenna array measurement. Based on the SOI, one or more users of the spectrum can be identified or the spectrum can be regarded as vacant; this can be based on lobe identification in the frequency spectrum of the SOI, in one example. This mechanism is less complex than traditional cyclic spectrum analysis methods. The cyclostationary beamforming based approach is more effective than the energy detection method. Also, the need for quiet periods in spectrum sensing is eliminated when using this mechanism such that signals can be transmitted simultaneously with receiving signals over the antenna array.

Abstract translation: 提供无线通信中的频谱感测以使用循环平稳波束成形方法来识别为初级用户保留的利用和/或未被使用的频带。 可以利用自适应交叉自相干恢复（ACS）算法从天线阵列测量中以与主用户和/或次要用户相关的独特周期频率提取感兴趣的信号（SOI）。 基于SOI，可以识别光谱的一个或多个用户，或者可以将光谱视为空白; 这可以基于SOI的频谱中的叶片识别，在一个示例中。 这种机制比传统的循环谱分析方法不复杂。 基于循环平稳波束成形的方法比能量检测方法更有效。 此外，当使用这种机制时，消除了在频谱感测中的安静周期的需要，使得可以通过天线阵列与接收信号同时传输信号。

公开(公告)号：US20120062399A1

公开(公告)日：2012-03-15

申请号：US13208202

申请日：2011-08-11

Applicant: Ke Lin DU ,  Wei Hsiang WU ,  Wai Ho MOW

Inventor： Ke Lin DU ,  Wei Hsiang WU ,  Wai Ho MOW

IPC: H03M7/34

CPC classification number: G06N3/126

Abstract: Systems, methods, and computer-readable media for determining long binary sequences having low autocorrelation functions using evolutionary processes are disclosed. Biphase sequences are found with low peak sidelobe values meeting a predetermined criterion, e.g., threshold low auto-correlation function, including application of semidefinite programming in connection with determining an initial population, and evolving the population with an evolutionary algorithm to bits of the biphase sequences including bit flipping. The found biphase sequences can be communicated to a variety of applications, including wireless communications technologies.

Abstract translation: 公开了用于使用进化过程确定具有低自相关函数的长二进制序列的系统，方法和计算机可读介质。 发现双相序列具有满足预定标准的低峰值旁瓣值，例如阈值低自相关函数，包括与确定初始群体相关的半定义编程的应用，以及使用进化算法将群体演化为双相序列的位 包括位翻转。 所发现的双相序列可以传送到各种应用，包括无线通信技术。

公开(公告)号：US20100266002A1

公开(公告)日：2010-10-21

申请号：US12425754

申请日：2009-04-17

Applicant: Ke Lin Du ,  Wai Ho Mow

Inventor： Ke Lin Du ,  Wai Ho Mow

IPC: H04B17/00

CPC classification number: H04B17/345

Abstract: Spectrum sensing in wireless communications is provided to identify utilized and/or unutilized frequency bands reserved for primary users using a cyclostationary beamforming approach. An adaptive cross self-coherent restoral (ACS) algorithm can be utilized to extract signals of interest (SOI) at unique cycle frequencies related to primary and/or secondary users from an antenna array measurement. Based on the SOI, one or more users of the spectrum can be identified or the spectrum can be regarded as vacant; this can be based on lobe identification in the frequency spectrum of the SOI, in one example. This mechanism is less complex than traditional cyclic spectrum analysis methods. The cyclostationary beamforming based approach is more effective than the energy detection method. Also, the need for quiet periods in spectrum sensing is eliminated when using this mechanism such that signals can be transmitted simultaneously with receiving signals over the antenna array.

Abstract translation: 提供无线通信中的频谱感测以使用循环平稳波束成形方法来识别为初级用户保留的利用和/或未被使用的频带。 可以利用自适应交叉自相干恢复（ACS）算法从天线阵列测量中以与主用户和/或次要用户相关的独特周期频率提取感兴趣的信号（SOI）。 基于SOI，可以识别光谱的一个或多个用户，或者可以将光谱视为空白; 这可以基于SOI的频谱中的叶片识别，在一个示例中。 这种机制比传统的循环谱分析方法不复杂。 基于循环平稳波束成形的方法比能量检测方法更有效。 此外，当使用这种机制时，消除了在频谱感测中的安静周期的需要，使得可以通过天线阵列与接收信号同时传输信号。

公开(公告)号：US09240850B2

公开(公告)日：2016-01-19

申请号：US13485538

申请日：2012-05-31

Applicant: Ke Lin Du ,  Wai Ho Mow

Inventor： Ke Lin Du ,  Wai Ho Mow

IPC: H04B17/00 ,  H04B17/345

CPC classification number: H04B17/345

Abstract: Spectrum sensing in wireless communications is provided to identify utilized and/or unutilized frequency bands reserved for primary users using a cyclostationary beamforming approach. An adaptive cross self-coherent restoral (ACS) algorithm can be utilized to extract signals of interest (SOI) at unique cycle frequencies related to primary and/or secondary users from an antenna array measurement. Based on the SOI, one or more users of the spectrum can be identified or the spectrum can be regarded as vacant; this can be based on lobe identification in the frequency spectrum of the SOI, in one example. This mechanism is less complex than traditional cyclic spectrum analysis methods. The cyclostationary beamforming based approach is more effective than the energy detection method. Also, the need for quiet periods in spectrum sensing is eliminated when using this mechanism such that signals can be transmitted simultaneously with receiving signals over the antenna array.

公开(公告)号：US20120238201A1

公开(公告)日：2012-09-20

申请号：US13485530

申请日：2012-05-31

Applicant: Ke Lin Du ,  Wai Ho Mow

Inventor： Ke Lin Du ,  Wai Ho Mow

IPC: H04W88/02 ,  H04W24/00 ,  H04W88/04

CPC classification number: H04B17/345

Abstract: Spectrum sensing in wireless communications is provided to identify utilized and/or unutilized frequency bands reserved for primary users using a cyclostationary beamforming approach. An adaptive cross self-coherent restoral (ACS) algorithm can be utilized to extract signals of interest (SOI) at unique cycle frequencies related to primary and/or secondary users from an antenna array measurement. Based on the SOI, one or more users of the spectrum can be identified or the spectrum can be regarded as vacant; this can be based on lobe identification in the frequency spectrum of the SOI, in one example. This mechanism is less complex than traditional cyclic spectrum analysis methods. The cyclostationary beamforming based approach is more effective than the energy detection method. Also, the need for quiet periods in spectrum sensing is eliminated when using this mechanism such that signals can be transmitted simultaneously with receiving signals over the antenna array.

Abstract translation: 提供无线通信中的频谱感测以使用循环平稳波束成形方法来识别为初级用户保留的利用和/或未被使用的频带。 可以利用自适应交叉自相干恢复（ACS）算法从天线阵列测量中以与主用户和/或次用户相关的独特周期频率提取感兴趣的信号（SOI）。 基于SOI，可以识别光谱的一个或多个用户，或者可以将光谱视为空白; 这可以基于SOI的频谱中的叶片识别，在一个示例中。 这种机制比传统的循环谱分析方法不复杂。 基于循环平稳波束成形的方法比能量检测方法更有效。 此外，当使用这种机制时，消除了在频谱感测中的安静周期的需要，使得可以通过天线阵列与接收信号同时传输信号。

公开(公告)号：US08493245B2

公开(公告)日：2013-07-23

申请号：US13208202

申请日：2011-08-11

Applicant: Ke Lin Du ,  Wei Hsiang Wu ,  Wai Ho Mow

Inventor： Ke Lin Du ,  Wei Hsiang Wu ,  Wai Ho Mow

IPC: H03M7/00

CPC classification number: G06N3/126

Abstract: Systems, methods, and computer-readable media for determining long binary sequences having low autocorrelation functions using evolutionary processes are disclosed. Biphase sequences are found with low peak sidelobe values meeting a predetermined criterion, e.g., threshold low auto-correlation function, including application of semidefinite programming in connection with determining an initial population, and evolving the population with an evolutionary algorithm to bits of the biphase sequences including bit flipping. The found biphase sequences can be communicated to a variety of applications, including wireless communications technologies.

Abstract translation: 公开了用于使用进化过程确定具有低自相关函数的长二进制序列的系统，方法和计算机可读介质。 发现双相序列具有满足预定标准的低峰值旁瓣值，例如阈值低自相关函数，包括与确定初始群体相关的半定义编程的应用，以及使用进化算法将群体演化为双相序列的位 包括位翻转。 所发现的双相序列可以传送到各种应用，包括无线通信技术。

公开(公告)号：US08422958B2

公开(公告)日：2013-04-16

申请号：US13485530

申请日：2012-05-31

Applicant: Ke Lin Du ,  Wai Ho Mow

Inventor： Ke Lin Du ,  Wai Ho Mow

IPC: H04B1/00

CPC classification number: H04B17/345

Abstract: Spectrum sensing in wireless communications is provided to identify utilized and/or unutilized frequency bands reserved for primary users using a cyclostationary beamforming approach. An adaptive cross self-coherent restoral (ACS) algorithm can be utilized to extract signals of interest (SOI) at unique cycle frequencies related to primary and/or secondary users from an antenna array measurement. Based on the SOI, one or more users of the spectrum can be identified or the spectrum can be regarded as vacant; this can be based on lobe identification in the frequency spectrum of the SOI, in one example. This mechanism is less complex than traditional cyclic spectrum analysis methods. The cyclostationary beamforming based approach is more effective than the energy detection method. Also, the need for quiet periods in spectrum sensing is eliminated when using this mechanism such that signals can be transmitted simultaneously with receiving signals over the antenna array.

Abstract translation: 提供无线通信中的频谱感测以使用循环平稳波束成形方法来识别为初级用户保留的利用和/或未被使用的频带。 可以利用自适应交叉自相干恢复（ACS）算法从天线阵列测量中以与主用户和/或次要用户相关的独特周期频率提取感兴趣的信号（SOI）。 基于SOI，可以识别光谱的一个或多个用户，或者可以将光谱视为空白; 这可以基于SOI的频谱中的叶片识别，在一个示例中。 这种机制比传统的循环谱分析方法不复杂。 基于循环平稳波束成形的方法比能量检测方法更有效。 此外，当使用这种机制时，消除了在频谱感测中的安静周期的需要，使得可以通过天线阵列与接收信号同时传输信号。