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Name: XC7A12T-2CPG238C
Brand: AMD Xilinx
SKU: XC7A12T-2CPG238C
Price: 2.40 USD
Availability: InStock
Rating: 5 (2 reviews)

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AMD Xilinx XC7A12T-2CPG238C

Part No.:: XC7A12T-2CPG238C

Manufacturer:: AMD Xilinx

Package:: 238-LFBGA, CSPBGA

Datasheet:: XC7A12T-2CPG238C.pdf

Description:: IC FPGA 106 I/O 238BGA

In Stock:: 3066

Quantity:: Add To Cart

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XC7A12T-2CPG238C Specifications

Package/Case:
238-LFBGA, CSPBGA
Packaging:
Tray
Series:
Artix-7
ProductStatus:
Active
NumberofLABs/CLBs:
1000
NumberofLogicElements/Cells:
12800
TotalRAMBits:
737280
NumberofI/O:
106
NumberofGates:
-
Voltage-Supply:
0.95V ~ 1.05V
MountingType:
Surface Mount
OperatingTemperature:
0°C ~ 85°C (TJ)

XC7A12T-2CPG238C this integrated circuit is available in factory sealed anti static packs. at icwhale.com. Please read product page below detail information. including XC7A12T-2CPG238C price, data-sheet, in-stock availability, technical difficulties. Also. Quickly Enter the access of compare listing to find out replaceable electronic parts. If you want to retrieve comprehensive data for XC7A12T-2CPG238C to optimize the supply chain (including cross references, life-cycle, parametric, counterfeit risk, obsolescence managements forecasts), please contact to our Tech-supports team.

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XC7A12T-2CPG238C information

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XC7A12T-2CPG238C application case analysis in emerging technology fields

XC7A12T-2CPG238C is a field-programmable gate array (FPGA) chip manufactured by Xilinx, offering high-performance and flexibility for various applications. It features a configurable logic fabric, abundant memory resources, and versatile I/O interfaces.

Application Scenario:

In robotics, XC7A12T-2CPG238C can be utilized to implement complex control algorithms and real-time sensor fusion for autonomous navigation systems.

System Architecture:

To design an autonomous navigation system using XC7A12T-2CPG238C, the following components and functionalities are required:

1. Sensor Integration:

Integrate various sensors such as LiDAR, cameras, and inertial measurement units (IMUs) to provide real-time environmental perception and localization data to the FPGA. Utilize the FPGA's high-speed interfaces, such as PCIe or Gigabit Ethernet, for sensor data acquisition.

2. Control Logic:

Implement control algorithms, such as Kalman filtering and PID controllers, on the FPGA to process sensor data and generate precise motion commands for robotic actuators. Leverage the parallel processing capabilities of XC7A12T-2CPG238C to achieve low-latency control loops.

3. Decision Making:

Utilize the FPGA's programmable logic to implement decision-making algorithms, such as state machines or neural networks, for autonomous navigation and obstacle avoidance. Enable adaptive learning and dynamic path planning to handle unpredictable environments.

4. Communication:

Establish communication interfaces, such as CAN bus or Ethernet, for data exchange between the FPGA-based control system and external devices, such as other robots or central control stations. Utilize high-speed serial transceivers available in XC7A12T-2CPG238C for reliable and high-bandwidth communication.

5. Power Management:

Implement efficient power management circuitry to ensure optimal utilization of power resources and maximize the battery life of autonomous robots. Utilize the FPGA's power-saving features, such as dynamic voltage and frequency scaling, to adapt power consumption based on computational workload.

Considerations:

When designing the autonomous navigation system, it's essential to consider:

- Real-Time Performance: Optimize FPGA logic design and algorithms to meet real-time constraints for robotic control and sensor fusion.

- Resource Utilization: Efficiently utilize FPGA resources, such as lookup tables (LUTs) and flip-flops, to minimize resource contention and maximize system scalability.

- Environmental Robustness: Design the system to withstand harsh environmental conditions and ensure reliable operation in challenging terrain or weather conditions.

- Safety and Redundancy: Implement redundant sensor systems and fail-safe mechanisms to ensure safe operation and prevent accidents in autonomous robotic applications.

- Scalability and Upgradability: Design the system architecture to be modular and easily upgradable to accommodate future advancements in sensor technology and control algorithms.

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6. What is the process for return or replacement of XC7A12T-2CPG238C?

All goods will implement Pre-Shipment Inspection (PSI), selected at random from all batches of your order to do a systematic inspection before arranging the shipment. If there is something wrong with the XC7A12T-2CPG238C we delivered, we will accept the replacement or return of the XC7A12T-2CPG238C only when all of the below conditions are fulfilled:

(1)Such as a deficiency in quantity, delivery of wrong items, and apparent external defects (breakage and rust, etc.), and we acknowledge such problems.

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(3)The PartNo is unused and only in the original unpacked packaging.

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