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Name: LFE2M20E-7FN256C
Brand: Lattice Semiconductor Corporation
SKU: LFE2M20E-7FN256C
Price: 2.40 USD
Availability: InStock
Rating: 5 (2 reviews)

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Lattice Semiconductor Corporation LFE2M20E-7FN256C

Part No.:: LFE2M20E-7FN256C

Manufacturer:: Lattice Semiconductor Corporation

Package:: 256-BGA

Datasheet:: LFE2M20E-7FN256C.pdf

Description:: IC FPGA 140 I/O 256FBGA

In Stock:: 3843

Quantity:: Add To Cart

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LFE2M20E-7FN256C Specifications

Package/Case:
256-BGA
Packaging:
Tray
Series:
ECP2M
ProductStatus:
Active
NumberofLABs/CLBs:
2375
NumberofLogicElements/Cells:
19000
TotalRAMBits:
1246208
NumberofI/O:
140
NumberofGates:
-
Voltage-Supply:
1.14V ~ 1.26V
MountingType:
Surface Mount
OperatingTemperature:
0°C ~ 85°C (TJ)

LFE2M20E-7FN256C this integrated circuit is available in factory sealed anti static packs. at icwhale.com. Please read product page below detail information. including LFE2M20E-7FN256C 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 LFE2M20E-7FN256C 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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LFE2M20E-7FN256C information

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LFE2M20E-7FN256C application case analysis in emerging technology fields

LFE2M20E-7FN256C is a field-programmable gate array (FPGA) featuring low power consumption, high-performance logic elements, and versatile IO interfaces, suitable for a wide range of applications in sectors such as telecommunications, automotive, and industrial automation.

Application Scenario:

In automotive electronics, LFE2M20E-7FN256C can be utilized to implement advanced driver assistance systems (ADAS) for enhanced vehicle safety and autonomous driving functionalities.

System Design:

To design an ADAS system using LFE2M20E-7FN256C, consider the following key components and functionalities:

1. Sensor Fusion:

Integrate various sensors, such as cameras, LiDAR, radar, and ultrasonic sensors, to capture real-time data about the vehicle's surroundings. Use LFE2M20E-7FN256C to process and fuse sensor data for accurate object detection and environmental perception.

2. Image Processing:

Utilize the FPGA's high-performance logic elements and parallel processing capabilities to implement complex image processing algorithms, including feature extraction, object recognition, and lane detection, to enhance situational awareness and enable autonomous driving functions.

3. Decision Making:

Implement decision-making algorithms, such as obstacle avoidance and trajectory planning, using LFE2M20E-7FN256C to analyze sensor data and generate control commands for steering, braking, and acceleration to ensure safe and efficient vehicle operation.

4. Communication:

Integrate communication interfaces, such as CAN (Controller Area Network) or Ethernet, to facilitate data exchange with other vehicle systems, such as the engine control unit (ECU) and the vehicle-to-everything (V2X) infrastructure, for cooperative driving and advanced safety features.

5. Power Efficiency:

Optimize power management strategies using the FPGA's low-power features and dynamic power gating techniques to minimize energy consumption while maintaining optimal system performance, extending the vehicle's range and reducing overall operating costs.

Considerations:

When designing the ADAS system, it's essential to address the following considerations:

- Real-Time Processing: Implement efficient algorithms and hardware architectures to ensure timely processing of sensor data and quick response to changing driving conditions.

- Functional Safety: Design the system with built-in redundancy and fail-safe mechanisms to meet automotive safety standards, such as ISO 26262, and ensure reliable operation in critical situations.

- Environmental Robustness: Ensure the FPGA-based system can withstand harsh environmental conditions, such as temperature variations, vibration, and electromagnetic interference, commonly encountered in automotive applications.

- Scalability and Flexibility: Design the system with scalability and flexibility in mind to accommodate future upgrades and enhancements, such as additional sensors or improved algorithms, to keep pace with evolving automotive technology trends.

- Regulatory Compliance: Ensure compliance with relevant automotive regulations and standards, such as Automotive Safety Integrity Level (ASIL) requirements, to ensure legal compliance and market acceptance of the ADAS system.

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6. What is the process for return or replacement of LFE2M20E-7FN256C?

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 LFE2M20E-7FN256C we delivered, we will accept the replacement or return of the LFE2M20E-7FN256C 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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