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Name: LFE2M100SE-5FN1152I
Brand: Lattice Semiconductor Corporation
SKU: LFE2M100SE-5FN1152I
Price: 2.40 USD
Availability: InStock
Rating: 5 (2 reviews)

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Lattice Semiconductor Corporation LFE2M100SE-5FN1152I

Part No.:: LFE2M100SE-5FN1152I

Manufacturer:: Lattice Semiconductor Corporation

Package:: 1152-BBGA

Datasheet:: LFE2M100SE-5FN1152I.pdf

Description:: IC FPGA 520 I/O 1152FBGA

In Stock:: 2658

Quantity:: Add To Cart

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LFE2M100SE-5FN1152I Specifications

Package/Case:
1152-BBGA
Packaging:
Tray
Series:
ECP2M
ProductStatus:
Not For New Designs
NumberofLABs/CLBs:
11875
NumberofLogicElements/Cells:
95000
TotalRAMBits:
5435392
NumberofI/O:
520
NumberofGates:
-
Voltage-Supply:
1.14V ~ 1.26V
MountingType:
Surface Mount
OperatingTemperature:
-40°C ~ 100°C (TJ)

LFE2M100SE-5FN1152I this integrated circuit is available in factory sealed anti static packs. at icwhale.com. Please read product page below detail information. including LFE2M100SE-5FN1152I 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 LFE2M100SE-5FN1152I 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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LFE2M100SE-5FN1152I information

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LFE2M100SE-5FN1152I application case analysis in emerging technology fields

LFE2M100SE-5FN1152I is a high-performance FPGA (Field-Programmable Gate Array) device manufactured by Lattice Semiconductor. It offers versatile capabilities and is commonly utilized in various intelligent systems and applications.

Application Scenario:

In autonomous vehicle navigation systems, LFE2M100SE-5FN1152I plays a crucial role in processing sensor data and executing complex algorithms for real-time decision-making and control.

System Architecture:

To design an autonomous vehicle navigation system using LFE2M100SE-5FN1152I, consider the following key components and functionalities:

1. Sensor Integration:

Integrate various sensors, such as LiDAR, RADAR, and cameras, to capture environmental data. Connect these sensors to the FPGA's GPIO pins, such as pins P1, P2, and P3, for data acquisition and processing.

2. Data Processing:

Utilize the programmable logic resources of LFE2M100SE-5FN1152I to implement custom algorithms for sensor fusion, object detection, and localization. Leverage the FPGA's parallel processing capabilities for efficient computation.

3. Decision Making:

Implement decision-making algorithms, such as path planning and obstacle avoidance, within the FPGA. Utilize onboard memory resources, such as embedded block RAMs, for storing maps and trajectory data.

4. Control Interface:

Interface the FPGA with actuators, such as motors and steering systems, for vehicle control. Utilize GPIO pins, such as pins P4 and P5, to send control signals and commands based on the decision-making algorithms.

5. Communication:

Implement communication interfaces, such as CAN (Controller Area Network) or Ethernet, for vehicle-to-vehicle and vehicle-to-infrastructure communication. Configure the relevant FPGA pins for communication protocols and data exchange.

Performance Optimization:

To enhance the efficiency and intelligence of the system, consider the following optimization techniques:

- Parallel Processing: Utilize the FPGA's parallel processing capabilities to execute multiple tasks simultaneously, improving overall system throughput.

- Hardware Acceleration: Implement critical algorithms in hardware to offload processing from the CPU, reducing latency and improving real-time responsiveness.

- Resource Utilization: Optimize FPGA resource utilization to maximize performance and minimize power consumption. Utilize synthesis and optimization tools to streamline the design process.

- Adaptive Algorithms: Implement adaptive algorithms within the FPGA to dynamically adjust system parameters based on changing environmental conditions and performance requirements.

- Fault Tolerance: Design the system with built-in fault tolerance mechanisms to ensure robust operation in the presence of hardware failures or environmental disturbances.

Conclusion:

In conclusion, LFE2M100SE-5FN1152I enables the development of highly efficient and intelligent autonomous vehicle navigation systems. By leveraging its programmable logic resources and advanced features, developers can create robust and adaptive solutions capable of navigating complex environments with precision and reliability.

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(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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