A design platform for flexible programmable DSP for automotive sensor conditioning

Sisto, A.; Pilato, Luca; Serventi, R.; Fanucci, Luca

doi:10.1109/norchip.2015.7364361

Cited by 2 publications

(4 citation statements)

References 11 publications

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“…The magnitude estimation is a linear combination of the max and min absolute values of the input coordinates, as shown in Equation (3). The choice of a and b values depends on the metric that the approximation in Equation (3) wants to minimize.…”

Section: Fast Magnitude Estimator and Improved Cordic Architecturementioning

confidence: 99%

“…Particularly, the SENSASIP chip is used to implement the algorithms in [3,[19][20][21] in real time for the sensor signal processing of a 3D Hall sensor and of an inductive position sensor in X-by-wire automotive applications. In these specific applications, the real-time application requirements were met already with a clock frequency for SENSASIP of 8 MHz.…”

Section: Vlsi Implementation and Characterizationmentioning

confidence: 99%

“…Rotary encoders, positioning systems, kinematics computation, phase trackers, coordinate transformation and rotation are only a few examples [2][3][4]. One of those is the use of CORDIC as an arctangent computation block, from here referenced as atan-CORDIC.…”

Section: Introductionmentioning

confidence: 99%

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Real-Time and High-Accuracy Arctangent Computation Using CORDIC and Fast Magnitude Estimation

2017

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This paper presents an improved VLSI (Very Large Scale of Integration) architecture for real-time and high-accuracy computation of trigonometric functions with fixed-point arithmetic, particularly arctangent using CORDIC (Coordinate Rotation Digital Computer) and fast magnitude estimation. The standard CORDIC implementation suffers of a loss of accuracy when the magnitude of the input vector becomes small. Using a fast magnitude estimator before running the standard algorithm, a pre-processing magnification is implemented, shifting the input coordinates by a proper factor. The entire architecture does not use a multiplier, it uses only shift and add primitives as the original CORDIC, and it does not change the data path precision of the CORDIC core. A bit-true case study is presented showing a reduction of the maximum phase error from 414 LSB (angle error of 0.6355 rad) to 4 LSB (angle error of 0.0061 rad), with small overheads of complexity and speed. Implementation of the new architecture in 0.18 µm CMOS technology allows for real-time and low-power processing of CORDIC and arctangent, which are key functions in many embedded DSP systems. The proposed macrocell has been verified by integration in a system-on-chip, called SENSASIP (Sensor Application Specific Instruction-set Processor), for position sensor signal processing in automotive measurement applications.

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Section: Fast Magnitude Estimator and Improved Cordic Architecturementioning

confidence: 99%

Section: Vlsi Implementation and Characterizationmentioning

confidence: 99%

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Real-Time and High-Accuracy Arctangent Computation Using CORDIC and Fast Magnitude Estimation

2017

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“…throttle, or accelerator pedals). The basic functionality of this application is presented in [20, p. 1902] and [21].…”

Section: Target Algorithmmentioning

confidence: 99%

Application specific instruction set processor for sensor conditioning in automotive applications

Sisto

Pilato

Serventi³

et al. 2016

Microprocessors and Microsystems

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In the automotive electronic market, sensor conditioning is one of the driving applications. Sensor solutions are pervasive in the vehicle, while signal processing in such application is getting more and more complex. Currently the design strategy is often the standard ASIC flow, but the design effort can be reduced by automatic or platform-aided design strategies, or by using software-based solutions. In this paper SensASIP platform is presented. It is a design platform targeting a microprocessor architecture enhanced by dedicated instructions for computing intensive sensor signal processing tasks. SensASIP allows a seamless design flow from MATLAB-based algorithm definition and instruction set design and simulation, down to hardware macrocell HDL description and implementation in CMOS technology. SensASIP features are described through two automotive sensor conditioning examples. Special focus is put on its increased flexibility and reduced design-effort vs. standard ASIC design approach and on its low complexity overhead vs. other state-of-art software-based solution

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A design platform for flexible programmable DSP for automotive sensor conditioning

Cited by 2 publications

References 11 publications

Real-Time and High-Accuracy Arctangent Computation Using CORDIC and Fast Magnitude Estimation

Real-Time and High-Accuracy Arctangent Computation Using CORDIC and Fast Magnitude Estimation

Application specific instruction set processor for sensor conditioning in automotive applications

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