公开(公告)号：US20160233873A1

公开(公告)日：2016-08-11

申请号：US15131959

申请日：2016-04-18

Applicant: Huawei Technologies Co., Ltd.

Inventor： Kinnang LAU ,  Wei HAN ,  Feibai ZHU ,  Xiangming KONG

IPC: H03M1/06 ,  H03M1/12 ,  H03M7/30

CPC classification number: H03M1/0626 ,  H03M1/1245 ,  H03M7/3062

Abstract: Embodiments of the present invention provide a device and a method for converting analog information, which achieve sufficient information spread of a sparse signal with a filter of relative low order and reduce hardware complexity, and which is not only applicable to processing of time domain sparse signals, but also applicable to processing of frequency domain signals. The method includes: multiplying an analog sparse signal with a random sequence to obtain a randomized analog sparse signal; performing IIR filtering to the randomized analog sparse signal to obtain an information spread random analog sparse signal; reducing a frequency of the information spread random sparse signal to obtain a frequency-reduced random analog sparse signal; and sampling the frequency-reduced random analog sparse signal with a low sampling rate to obtain a compressed sampled signal.

Abstract translation: 本发明的实施例提供一种用于转换模拟信息的装置和方法，该模拟信息利用相对低阶的滤波器实现稀疏信号的充分信息扩展并降低硬件复杂度，并且不仅适用于时域稀疏信号的处理 ，也适用于频域信号的处理。 该方法包括：将模拟稀疏信号与随机序列相乘以获得随机化的模拟稀疏信号; 对随机模拟稀疏信号执行IIR滤波以获得信息扩展随机模拟稀疏信号; 降低信息频率随机稀疏信号的频率，获得频率降低的随机模拟稀疏信号; 并以低采样率对频率降低的随机模拟稀疏信号进行采样，以获得压缩采样信号。

公开(公告)号：US20170012640A1

公开(公告)日：2017-01-12

申请号：US15270911

申请日：2016-09-20

Applicant: Huawei Technologies Co., Ltd.

Inventor： Xiangming KONG ,  Hufei ZHU

IPC: H03M7/30 ,  H04B1/66

CPC classification number: H03M7/3062 ,  H03M1/1255 ,  H04B1/66

Abstract: The present invention relates to a compressive sensing-based signal processing method and apparatus. The method includes: determining distribution, of signal components of an input signal on which frequency mixing has been performed, in a baseband spectrum according to spectral distribution of the input signal; dividing the baseband spectrum according to different signal aliasing patterns formed by the distribution of the signal components, to form multiple frequency bands; determining lowest sampling frequency of the input signal according to the signal aliasing patterns in the frequency bands, and performing sampling on the input signal at sampling frequency greater than the lowest sampling frequency, to obtain a sampled signal; and separately restoring a corresponding signal component in each frequency band of the multiple frequency bands according to the sampled signal, and splicing the signal components restored in the frequency bands, to complete restoration of the input signal.

Abstract translation: 本发明涉及一种基于压缩感知的信号处理方法和装置。 该方法包括：根据输入信号的频谱分布，在基带频谱中确定已进行频率混合的输入信号的信号分量的分布; 根据由信号分量分布形成的不同信号混叠模式划分基带频谱，形成多个频带; 根据频带中的信号混叠模式确定输入信号的最低采样频率，并以大于最低采样频率的采样频率对输入信号进行采样，以获得采样信号; 并且根据采样信号单独地复原多个频带的每个频带中的对应信号分量，以及拼接在频带中恢复的信号分量，以完成输入信号的恢复。

公开(公告)号：US20160365939A1

公开(公告)日：2016-12-15

申请号：US15248777

申请日：2016-08-26

Applicant: Huawei Technologies Co., Ltd.

Inventor： KinNang LAU ,  An LIU ,  Xiangming KONG

IPC: H04J11/00 ,  H04L25/03

CPC classification number: H04J11/004 ,  H04L25/03006

Abstract: Embodiments of the present invention provide a signal processing method and a base station. By using respective sparse characteristics of a user signal and an interference signal, the user signal and the interference signal are iteratively recovered, that is, the interference signal is first fastened, and the user signal is recovered; and then the user signal is fastened, and the interference signal is recovered. In this way, an iteration cycle is repeated until the recovered user signal and the recovered interference signal meet a preset condition, thereby effectively improving interference cancellation performance, achieving relatively good interference suppression.

Abstract translation: 本发明的实施例提供了一种信号处理方法和基站。 通过使用用户信号和干扰信号的相应稀疏特征，迭代地恢复用户信号和干扰信号，即首先紧固干扰信号，恢复用户信号; 然后紧固用户信号，并且恢复干扰信号。 以这种方式，重复迭代循环，直到恢复的用户信号和恢复的干扰信号满足预设条件，从而有效地提高了干扰消除性能，实现了较好的干扰抑制。