INTELLIGENT TIRE SYSTEM Pierluigi Nuzzo, Safa Messaoud, Ben Zhang - - PowerPoint PPT Presentation

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INTELLIGENT TIRE SYSTEM Pierluigi Nuzzo, Safa Messaoud, Ben Zhang - - PowerPoint PPT Presentation

Aug 28, 2022 109 likes •319 views

CASE STUDY INTELLIGENT TIRE SYSTEM Pierluigi Nuzzo, Safa Messaoud, Ben Zhang INTELLIGENT TIRE SYSTEM Distributed architecture for real-time data acquisition of road-surface and vehicular information from sensors located inside the tire of a car

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SLIDE 1

CASE STUDY

INTELLIGENT TIRE SYSTEM

Pierluigi Nuzzo, Safa Messaoud, Ben Zhang

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SLIDE 2

INTELLIGENT TIRE SYSTEM

Distributed architecture for real-time data acquisition of road-surface and vehicular information from sensors located inside the tire of a car

System Architecture

Personal Area Network (PAN)

Lowest level: sensor nodes

Upper level: PAN coordinator (communication with the sensor nodes, synchronization)

System Control Host (the highest level coordinator of the network)

UWB Communication System

UWB radio transmission

Preferable with respect to narrow-band transmission and spread spectrum techniques

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SLIDE 3

Signal Properties

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SLIDE 4

UWB RECEIVER FRONT-END DESIGN

  • A. Receiver Requirements
  • B. RF Front-End Exploration
  • C. Low Pass Filter Abstraction
  • D. Receiver Composition and Optimization
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SLIDE 5
  • A. Receiver Requirements
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SLIDE 6
  • B. RF Front-End Exploration

RF front-end: LNA + passive Mixer (M1 and M2)+low noise gain stage (M3-M8)

LNA

Mixer

1. AP components and contracts 2. RF Front-End Composition

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SLIDE 7
  • 1. AP components and contracts

 LNA component

  • Specify the related variables
  • Assumptions & Guarantees (ALN A, GLN A)

ALN A= {(RL ,CL ) : RL ∈ [85, 520] ,CL∈ [0.03, 0.25] pF}

 GLN A is the set of performance figures ζ LNA that satisfy

PLNA(ζLN A) = 1 and are obtained by evaluating the mapping φLNA on the input, configuration and interface variables in ALNA.

 Mixer component  CLNA and CMIX: horizontal contracts

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SLIDE 8
  • 2. RF Front-End Composition

 CRF = CLNA⊗CMIX  The intersection between the

set of configurations assumed by the LNA and the set of configurations offered by the Mixer is non-empty.

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SLIDE 9

Design Exploration Via Optimization

7186/20730 satisfied the contracts 21 minutes on a 3.16 GHz Intel Core2 Duo Workstation to obtain the optimum

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SLIDE 10

Optimization Results

Transistor-level simulation using the nearest neighbors

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SLIDE 11

Contract-based vs. No Contract

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SLIDE 12

Optimization Computation Cost

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SLIDE 13

Low Pass Filter

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SLIDE 14

Low Pass Filter Abstraction

Filter Behavioral Model

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SLIDE 15

Performance and Interface Parameters

Power consumption Cell quality-factor Resonant angular frequency Output noise power Gain Third-order harmonic distortion Input impedance Output impedance

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SLIDE 16

Benefit of contracts

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SLIDE 17

Receiver

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SLIDE 18

Receiver Composition

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SLIDE 19

Receiver Optimization

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SLIDE 20

Receiver Optimization Results