公开(公告)号：US10523480B1

公开(公告)日：2019-12-31

申请号：US16184370

申请日：2018-11-08

Applicant: NXP B.V.

Inventor： Yunus Can Gultekin ,  Frans M. J. Willems ,  Wim van Houtum ,  Semih Serbetli

IPC: H04L27/00 ,  H04L27/02

Abstract: A method for k-bit Enumerative Sphere Shaping (ESS) of multidimensional constellations includes converting a first set of a plurality of uniformly distributed data bits from a serial data bit stream to a first unsigned amplitude sequence comprising a plurality of amplitudes bounded by a spherical constellation of maximum energy levels of a plurality of energy levels, wherein the first unsigned amplitude sequence has a Gaussian distribution and each of the energy levels is determined by a respective one of the amplitudes in the amplitude sequence. The first unsigned amplitude sequence is converted to a first shaped data bit sequence. The first shaped data bit sequence is combined with a second set of a one or more uniformly distributed data bits from the serial data bit stream to form a combined data stream. The combined data stream is mapped to a combined amplitude stream.

公开(公告)号：US10158390B2

公开(公告)日：2018-12-18

申请号：US15139457

申请日：2016-04-27

Applicant: NXP B.V.

Inventor： Andries Hekstra ,  Alessio Filippi ,  Semih Serbetli ,  Arie Koppelaar

IPC: H04B1/16 ,  H04L1/00 ,  H04L25/06 ,  H04L25/02

Abstract: According to the present disclosure, there is provided methods of processing a signal using quantized symbols. More particularly, in one example, the method comprises the steps of processing a signal (206), said method comprising the steps of: receiving a signal (206) comprising a plurality of raw symbols, each raw symbol having a plurality of bits and being conveyed in a channel; estimating a channel state information value (206) of the channel used to convey each raw symbol to generate a corresponding plurality of channel state information values; quantizing the plurality of raw symbols based on their channel state information values to generate a sequence of quantized symbols (214); and quantizing the channel state information values to generate a sequence of quantized channel state values (216).

公开(公告)号：US09608844B2

公开(公告)日：2017-03-28

申请号：US14287778

申请日：2014-05-27

Applicant: NXP B.V.

Inventor： Weihua Tang ,  Semih Serbetli

IPC: H04L25/02 ,  H04L27/26 ,  H04L27/227

CPC classification number: H04L25/0238 ,  H04L25/0204 ,  H04L25/0212 ,  H04L27/227 ,  H04L27/26 ,  H04L27/2601

Abstract: Embodiments of systems and methods for performing channel estimation on Orthogonal frequency-division multiplexing (OFDM) signals are described. In one embodiment, a method for performing channel estimation on an OFDM signal involves performing blind channel phase estimation on an OFDM signal to obtain channel phase information and performing blind channel magnitude estimation on the OFDM signal to obtain channel magnitude information. Each of performing blind channel phase estimation on the OFDM signal and performing blind channel magnitude estimation on the OFDM signal involves detecting and suppressing a signal path of the OFDM signal. Other embodiments are also described.

公开(公告)号：US20160226528A1

公开(公告)日：2016-08-04

申请号：US14983729

申请日：2015-12-30

Applicant: NXP B.V.

Inventor： Semih Serbetli ,  Marinus van Splunter

IPC: H03M13/45 ,  G06F11/10

CPC classification number: H03M13/45 ,  G06F11/1004 ,  H03M7/40 ,  H03M13/1111 ,  H03M13/23 ,  H03M13/2957 ,  H03M13/6502 ,  H03M13/6577 ,  H03M13/6588 ,  H03M13/6594 ,  H04L1/0045 ,  H04L1/0071 ,  H04L25/067

Abstract: A method of processing a signal by non-uniform quantization of log likelihood ratios is disclosed. In particular a disclosed method comprising the steps of: receiving (110) a plurality of bits (12); calculating (120) a log likelihood ratio (22), known as a LLR, for each bit; providing (130) a LLR value (22) for each bit based on the calculated LLR; quantizing (140) the LLR values into a plurality of quantization bins, each quantization bin having: a width representative of one or more LLR values; and an index value (32) having a bit length; and associating (150) each bit with the index value (32) that corresponds to its LLR value (22), wherein the width of each quantization bin is non-uniform. This compresses the LLR values (22) in a more efficient manner, requiring lower memory usage and/or lower bandwidth. A chip for a receiver and a communication system comprising one or more receivers are also disclosed.

Abstract translation: 公开了通过对数似然比的非均匀量化处理信号的方法。 具体地，公开的方法包括以下步骤：接收（110）多个比特（12）; 计算（120）每个位的对数似然比（22），称为LLR; 基于所计算的LLR，为每个位提供（130）LLR值（22）; 将LLR值量化（140）到多个量化仓中，每个量化仓具有：表示一个或多个LLR值的宽度; 和具有位长度的索引值（32）; 以及将每个位与（150）对应于其LLR值（22）的索引值（32）相关联，其中每个量化仓的宽度是不均匀的。 这以更有效的方式压缩LLR值（22），需要较低的存储器使用和/或较低的带宽。 还公开了一种用于接收机的芯片和包括一个或多个接收机的通信系统。

公开(公告)号：US09031170B2

公开(公告)日：2015-05-12

申请号：US13971419

申请日：2013-08-20

Applicant: NXP B.V.

Inventor： Semih Serbetli

IPC: H04L25/02 ,  H04L25/06 ,  H04L27/233 ,  H04L1/20

CPC classification number: H04L25/022 ,  H04L25/0202 ,  H04L25/067 ,  H04L27/2331

Abstract: A channel frequency response estimator for estimating the channel frequency response of a wireless RF channel having a time or frequency varying channel frequency response is disclosed. The channel frequency response estimator includes a wireless receiver. An ambiguous channel frequency response estimator is also included and configured to establish multiple channel frequency response estimate candidates for the channel frequency response of the channel. An ambiguity resolver is configured to select a channel frequency response estimate from the multiple channel frequency response estimate candidates that maximizes a goodness of fit of the selected first channel frequency response estimate, and at least two further channel frequency response estimates to a channel model. The channel model models the time or frequency dependent variance of the channel frequency response.

Abstract translation: 公开了一种用于估计具有时间或频率变化的信道频率响应的无线RF信道的信道频率响应的信道频率响应估计器。 信道频率响应估计器包括无线接收机。 还包括模糊信道频率响应估计器并配置为建立信道的信道频率响应的多信道频率响应估计候选。 歧义解析器被配置为从对所选择的第一信道频率响应估计的拟合优度最大化的多信道频率响应估计候选以及对信道模型的至少两个另外的信道频率响应估计来选择信道频率响应估计。 信道模型模拟信道频率响应的时间或频率相关方差。