Digital intensive hybrid ADC/filter for LNA-free adaptive radio front-ends
    4.
    发明授权
    Digital intensive hybrid ADC/filter for LNA-free adaptive radio front-ends 有权
    数字强度混合ADC /滤波器,用于无LNA自适应无线电前端

    公开(公告)号:US09584164B1

    公开(公告)日:2017-02-28

    申请号:US15049616

    申请日:2016-02-22

    CPC classification number: H04B1/0042 H04B1/10 H04L27/0002

    Abstract: A mixer-first receiver operates to generate filtering and analog-to-digital conversion concurrently and adaptively, while removing an LNA before a mixer to enable integration with digital baseband circuits. A plurality of switching capacitor arrays are integrated with a hybrid analog-to-digital filtering component. Switching capacitor arrays of the plurality of switching capacitor arrays can be selectively modified to perform both the filtering operation and the conversion operation together. The same switch capacitors of a switching capacitor array can be utilized in one phase of a clock cycle for the filtering and in another phase of the clock cycle for the conversion.

    Abstract translation: 混频器第一接收机用于同时和自适应地产生滤波和模数转换,同时在混频器之前去除LNA以实现与数字基带电路的集成。 多个开关电容器阵列与混合模数转换组件集成。 可以选择性地修改多个开关电容器阵列的开关电容器阵列以一起执行滤波操作和转换操作。 开关电容器阵列的相同开关电容器可以在用于滤波的时钟周期的一个阶段中用于转换的时钟周期的另一个阶段。

    LATTICE REDUCTION-AIDED SYMBOL DETECTION
    5.
    发明申请

    公开(公告)号:US20180287675A1

    公开(公告)日:2018-10-04

    申请号:US15763860

    申请日:2015-10-30

    Abstract: An orthogonalization matrix calculation circuit may include a scaling coefficient calculation circuit configured to calculate a scaling coefficient for each of a plurality of candidate update operations for the orthogonalization matrix, wherein each of the plurality of candidate update operations comprises combining linearly at least one of a first column or a second column of the orthogonalization matrix previously utilized to update the orthogonalization matrix, an update operation selection circuit configured to select an optimum candidate update operation from the plurality of candidate update operations, and a matrix update circuit configured to update the orthogonalization matrix according to the scaling coefficient of the optimum candidate update operation.

    LOW POWER mmWAVE RECEIVER ARCHITECTURE WITH SPATIAL COMPRESSION INTERFACE

    公开(公告)号:US20210075456A1

    公开(公告)日:2021-03-11

    申请号:US16958813

    申请日:2018-01-02

    Abstract: A receiver circuit associated with a communication device is disclosed. The receiver circuit comprises a digital data compression circuit configured to receive a plurality of digital receive signals derived from a plurality of analog receive signals respectively associated with the receiver circuit. The digital data compression circuit is further configured to compress the plurality of digital receive signals to form one or more compressed digital data signals based thereon, to be provided to an input output (I/O) interface associated therewith. In some embodiments, a compressed digital signal dimension associated with the one or more compressed digital data signals is less than a digital signal dimension associated with the plurality of digital receive signals.

    Fast Fourier transform architecture

    公开(公告)号:US10713333B2

    公开(公告)日:2020-07-14

    申请号:US15777249

    申请日:2015-12-21

    Abstract: A calculation circuit for calculating a transform of an input sequence may include a plurality of butterfly computation circuits configured to perform a plurality of butterfly computations and to produce a plurality of outputs during each of a plurality of computation stages, a wired routing network configured to route a first plurality of outputs of the plurality of butterfly computation circuits from a first computation stage of the plurality of computation stages as input to the plurality of butterfly computation circuits during a second computation stage of the plurality of computation stages according to a reconfigurable routing configuration, and routing control circuitry configured to modify the reconfigurable routing configuration for a third computation stage of the plurality of computation stages.

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