DYNAMIC GAIN ADJUSTMENT BASED ON DISTANCE TO TARGET IN AN ACTIVE LIGHT DETECTION SYSTEM

    公开(公告)号:US20230008751A1

    公开(公告)日:2023-01-12

    申请号:US17862024

    申请日:2022-07-11

    Abstract: Apparatus and method for adaptively adjusting amplifier gain based on detected distance to a target in a light detection and ranging (LiDAR) system. In some embodiments, the amplifier amplifies detected pulses obtained from a photodetector, and the gain is adjusted from among at least two selectable gain modes responsive to a measured time of flight (ToF) for the pulses. A first range of gain levels can be used for targets that are within a first maximum distance range, and a second range of gain levels can be used for targets that are beyond the first maximum distance range. Each mode can extend from a minimum to a maximum value along a selected linear slope. A gain adjustment circuit can use a Gilbert Cell or a multiplier and fully differential amplifier arrangement.

    Determining fly height using readback signal distortion

    公开(公告)号:US11881239B1

    公开(公告)日:2024-01-23

    申请号:US17733521

    申请日:2022-04-29

    CPC classification number: G11B5/6029

    Abstract: A controller extracts a distortion component of a readback signal from a magnetic read head. The distortion component may be found using a finite length Volterra series, for example. The controller estimates a clearance between the read head and a recording medium based on the distortion component. This clearance measurement can be used for closed loop fly-height control of the read head.

    Multiple detector data channel and data detection utilizing different cost functions

    公开(公告)号:US11223447B1

    公开(公告)日:2022-01-11

    申请号:US17219444

    申请日:2021-03-31

    Abstract: Systems and methods are disclosed for a multiple detector data channel and data detection utilizing different cost functions. For example, a digital data channel system can have multiple data detectors where each data detector implements a distinct cost function for detecting data. A cost function analyzer can then selectively choose decisions from the multiple data detectors to generate a data sequence. In some examples, a dual detector system may have one detector implement a Soft-Output Viterbi Algorithm (SOVA) cost function and another detector implement a peak detection algorithm. Further, in some embodiments, the cost function analyzer can implement multiple selection criteria to determine which decisions to include in a data sequence from the multiple data detectors.

Patent Agency Ranking