AI SDR 人工智能軟件無線電 Deepwave
AI SDR 人工智能軟件無線電 Deepwave
AI SDR 人工智能軟件無線電 Deepwave
AI SDR 人工智能軟件無線電 Deepwave
AI SDR 人工智能軟件無線電 Deepwave
AI SDR 人工智能軟件無線電 Deepwave

AI-SDR-人工智能軟件無線電-Deepwave

價格

訂貨量(臺)

¥6.00

≥1

聯(lián)系人 張工

祹祲祴祴-祶祻祵祷祹祻祵祶

發(fā)貨地 廣東省深圳市
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商品參數(shù)
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商品介紹
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聯(lián)系方式
品牌 Deepwave
型號 人工智能軟件無線電
頻率范圍 300 MHz-6 GHz
通道 4通道
接收通道數(shù) 2
內存 3.75kbits
最大帶寬 112.5兆赫
最大采樣率 125 MSPS
頻率調諧范圍 300 MHz-6 GHz
外部基準輸入
LUT 75.5k
商品介紹
  • 產品概述

    2x2 MIMO | NVIDIA Jetson TX2 | Xilinx Artix 7 200T

    AIR7101.png

    The Artificial Intelligence Radio Transceiver 7201 is a high-performance, GPU enabled software defined radio with an increased FPGA capability. Equipped with the Xilinx Aritix 200T FPGA, The AIR7201 has 4x more FPGA resources compared to the AIR7101.

    300MHz – 6 GHz | 215,360 FPGA Logic Cells | 740 DSP slices | Memory 12,140

    技術參數(shù)

    模型Xilinx Artix-7
    LUT75.5k
    DSP Slices740
    內存12.14 kbits
    射頻收發(fā)器
    模型ADI 9371
    接收通道數(shù)2
    發(fā)射通道數(shù)2
    最大帶寬112.5兆赫
    最大采樣率125 MSPS
    頻率調諧范圍300 MHz-6 GHz
    接收器功率電平控制AGC或手動增益控制
    發(fā)射器功率電平控制TPC或手動增益控制
    外部基準輸入
    內置校準正交誤差校正

    LO抑制

    LO泄漏校正

    處理器
    模型NVIDIA Jetson TX2
    CPU 1ARM A-57(4核)
    CPU 2ARM Denver2(2核)
    顯卡Pascal(256核)
    記憶8 GB共享內存
    存儲32 GB閃存
    接口
    SATA硬盤版本3.1
    SD卡最高2 TB的SD 3.0或SD-XC卡
    USB

    USB 3.0高速模式(最高5Gb / s)

    USB 2.0高速模式(最高480Mb / s),

    USB On-The-Go


    UART,GPIO,SPI,I2C,音頻有關信息,請參見NVIDIA Jetson TX2數(shù)據(jù)表。
  • 產品概述

    AirStack Sandbox is an FPGA development kit for customers to deploy their own intellectual property (IP) on the AIR-T‘s FPGA. The Deepwave team has abstracted away all of the complications of writing custom firmware and has now enabled our customers to interact with the FPGA in an extremely simplified interface. Board specific system management (power, clocking, timing, and bus architecture) are handled by Deepwave developers in the Sandbox software. Customers can immediately utilize FPGA computational resources without the long initial development times typical of bringing up an entire system. With Sandbox + AirStack, the full power of the AIR-T’s FPGA, GPU, and CPUs are now at your disposal. Customers are able to insert their own IP cores into the FPGA for their own application which may include Custom signal processing blocks, Communication physical layers, Pre-processing for deep learning applications, or Feature extraction.

    AIR-T's  Memory Architecture

    image.png

    AIR-T's Unique Memory Architecture

    The figure to the right shows the unique shared memory architecture of the AIR-T product line. With the AIR-T, the GPU and CPU share the same memory allowing for signal data to be equally accessible to both compute resources. The signal data is transferred to/from this shared memory using the DMA engine included in Sandbox.

    SDR Memory Architecture

    image.png

    Traditional SDR Memory Architecture

    This is in contrast to a traditional software defined radio shown to the left. In typical SDR systems, the GPU and CPU are only connected by a PCI express bus requiring an extra memory copy of the signal data to access the GPU compute resource. This extra copy adds significant latency to the application. The presence of the GPU / CPU shared memory on the AIR-T allows for applications to operate with reduce latency while still leveraging the compute power of the GPU. By combining the AIR-T hardware, AirStack, and AirStack Sandbox, Deepwave offers the only SDR with combined FPGA, GPU, and CPU in a fully reconfigurable infrastructure.

聯(lián)系方式
公司名稱 深圳君億道科技有限公司
聯(lián)系賣家 張工
電話 祹祲祴祴-祶祻祵祷祹祻祵祶
手機 祹祲祴祴-祶祻祵祷祹祻祵祶
地址 廣東省深圳市