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Name: LFE2-70SE-7FN900C
Brand: Lattice Semiconductor Corporation
SKU: LFE2-70SE-7FN900C
Price: 2.40 USD
Availability: InStock
Rating: 5 (2 reviews)

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Lattice Semiconductor Corporation LFE2-70SE-7FN900C

Part No.:: LFE2-70SE-7FN900C

Manufacturer:: Lattice Semiconductor Corporation

Package:: 900-BBGA

Datasheet:: LFE2-70SE-7FN900C.pdf

Description:: IC FPGA 583 I/O 900FBGA

In Stock:: 3118

Quantity:: Add To Cart

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LFE2-70SE-7FN900C Specifications

Package/Case:
900-BBGA
Packaging:
Tray
Series:
ECP2
ProductStatus:
Active
NumberofLABs/CLBs:
8500
NumberofLogicElements/Cells:
68000
TotalRAMBits:
1056768
NumberofI/O:
583
NumberofGates:
-
Voltage-Supply:
1.14V ~ 1.26V
MountingType:
Surface Mount
OperatingTemperature:
0°C ~ 85°C (TJ)

LFE2-70SE-7FN900C this integrated circuit is available in factory sealed anti static packs. at icwhale.com. Please read product page below detail information. including LFE2-70SE-7FN900C 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 LFE2-70SE-7FN900C 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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LFE2-70SE-7FN900C information

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LFE2-70SE-7FN900C application case analysis in emerging technology fields

LFE2-70SE-7FN900C is a field-programmable gate array (FPGA) known for its versatility and high performance, commonly used in various applications requiring programmable logic solutions.

Application Scenario:

In autonomous vehicles, LFE2-70SE-7FN900C can be utilized to implement complex control algorithms for navigation, obstacle detection, and decision-making processes.

System Integration:

To integrate LFE2-70SE-7FN900C into an autonomous vehicle control system, follow these steps:

1. Sensor Interface:

Connect various sensors, such as lidar, radar, and cameras, to the FPGA's input pins for real-time data acquisition. Utilize high-speed serial interfaces like LVDS or SERDES for efficient sensor data transmission.

2. Algorithm Implementation:

Implement advanced algorithms for perception, localization, and path planning directly onto the LFE2-70SE-7FN900C FPGA using hardware description languages (HDLs) like Verilog or VHDL. Utilize the FPGA's parallel processing capability for accelerated computation.

3. Control Logic:

Develop control logic to interpret sensor data and make real-time decisions for vehicle navigation and obstacle avoidance. Utilize the FPGA's programmable fabric to adapt the control algorithms based on changing environmental conditions.

4. Actuator Control:

Connect actuators, such as motors and steering systems, to the FPGA's output pins for precise control of vehicle movements. Utilize pulse-width modulation (PWM) signals generated by the FPGA to drive the actuators with optimal efficiency.

5. Communication:

Implement communication interfaces, such as Ethernet or CAN bus, for vehicle-to-vehicle and vehicle-to-infrastructure communication. Utilize the FPGA's high-speed transceivers for reliable data exchange with external systems.

Benefits:

By leveraging LFE2-70SE-7FN900C in autonomous vehicle control systems, several benefits can be achieved:

- High Performance: The FPGA's parallel processing capability enables fast and efficient execution of complex control algorithms, enhancing the vehicle's responsiveness and decision-making speed.

- Flexibility: The reprogrammable nature of the FPGA allows for easy adaptation to evolving requirements and integration of new features without hardware changes, ensuring future-proof system design.

- Customization: Engineers can tailor the control algorithms and hardware interfaces to specific vehicle platforms and operational environments, optimizing performance and reliability.

- Integration: The FPGA's ability to interface with a wide range of sensors and actuators simplifies system integration and enables seamless communication with other vehicle subsystems.

- Scalability: The scalable architecture of LFE2-70SE-7FN900C allows for the implementation of complex autonomous functions in both small-scale prototypes and large-scale production vehicles.

Considerations:

When designing the autonomous vehicle control system with LFE2-70SE-7FN900C, it's essential to consider:

- Resource Utilization: Optimize FPGA resource usage to maximize performance while minimizing power consumption and cost.

- Safety and Reliability: Implement redundant control mechanisms and error detection schemes to ensure safe operation in critical situations and mitigate the risk of hardware failures.

- Verification and Validation: Thoroughly test the FPGA-based control system under various operating conditions and environmental scenarios to validate its functionality, safety, and compliance with regulatory standards.

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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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