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Multi-Rate Signal Processing Issues in Active Safety Algorithms
Technical Paper
2016-01-0112
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
In the presented paper we deal with an important problem in active safety systems, which is the multi-rate processing of different signals. Automotive systems are usually very complex, involving multiple subsystems, in which typically it is very difficult to obtain equal sampling rates. In many cases, this problem is ignored, which means that the signals samples stored in different time moments are silently assumed to be to sampled in the same time. Looking from the point of view of signal processing, this incorrect assumption often causes large harmonic distortions artifacts of processed signals. These distortions, in turn, generate harmonics of different frequencies. As a result, if processed signals are used to calculate the trajectories of objects seen by systems associated with the vehicle, may differ from the real world trajectories. This may cause occurrence of false positives or no reaction of the vehicle in case of emergency situation. In the literature many resampling methods have been proposed, including interpolation techniques. These methods are often very accurate, but require the use of complex filters. An additional difficulty in the active safety systems is that they have to be very fast. For this reason, the use of complex resampling methods is not feasible. In this paper we consider various resampling approaches. The main objective is to obtain very fast methods that introduce a delay no greater than that one sample. Investigations carried out show that a simple linear or parabolic interpolation can significantly improve the precision of active safety algorithms.
Authors
Citation
Borkowski, D., Dlugosz, R., Szulc, M., Skruch, P. et al., "Multi-Rate Signal Processing Issues in Active Safety Algorithms," SAE Technical Paper 2016-01-0112, 2016, https://doi.org/10.4271/2016-01-0112.Also In
References
- Unser , M. Splines: A perfect fit for signal/image processing IEEE Signal Processing magazine 16 6 22 38 November 1999
- Hentschel , T. , Fettweis , G. Sample Rate Conversion for Software Radio Proc. of the 1-st Karlsruhe Workshop on Software Radios 29 30 Karlsruhe, Germany March 2000
- Borkowski , D. , Bień , A. Improvement of Accuracy of Power System Spectral Analysis by Coherent Resampling IEEE Transactions on Power Delivery 24 3 1004 1013
- Borkowski , D. On-line instantaneous frequency estimation and voltage/current coherent resampling method Metrology And Measurement Systems XII 59 74 2005
- Porwal , S. , Katiyar , S.K. Performance evaluation of various resampling techniques on IRS imagery Seventh International Conference on Contemporary Computing (IC3) 7-9 Aug. 2014
- Evangelista , G. Design of digital systems for arbitrary sampling rate conversion EURASIP J. Signal Processing 83 2 377 387 February 2003
- Condat , L. , Blu , T. , Unser , M. Beyond Interpolation: Optimal Reconstruction by Quasi-Iterpolation IEEE Int. Conf. on Acoustics, Speech and Signal Processing Genova, Italy September 2005
- Ferrer-Arnau L. , Reig-Bolano R. , Marti-Puig P. , Manjabacas A. , Parisi-Baradad V. Efficient cubic spline interpolation implemented with FIR filters Int. Journal of Computer Information Systems and Industrial Management Applications 5 98 105 2013
- Vaidyanathan , P. P. Generalizations of the Sampling Theorem: Seven Decades After Nyquist IEEE Trans. on Circuits and Systems 48 9 1094 1109 September 2001
- Philips , G. M. Interpolationa and Approximation by Polynomials Springer Science & Business Media 2006