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Institution

Saab Automobile AB

About: Saab Automobile AB is a based out in . It is known for research contribution in the topics: Radar & Antenna (radio). The organization has 760 authors who have published 890 publications receiving 11811 citations.


Papers
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Proceedings ArticleDOI
TL;DR: In this paper, the authors investigated the operating range in terms of speed and load with a Naturally Aspirated (NA) four-stroke multi-cylinder engine with Port Fuel Injection (PFI).
Abstract: Homogenous Charge Compression Ignition (HCCI) is a promising part load combustion concept for future power train applications. Different approaches to achieve and control HCCI combustion are today investigated and compared, especially concerning operating range. The HCCI operating range for vehicle applications should at least cover contemporary emissions drive cycles. The operating range in terms of speed and load is investigated with a Naturally Aspirated (NA) four-stroke multi-cylinder engine with Port Fuel Injection (PFI). HCCI combustion control is achieved with Variable Compression Ratio (VCR) and inlet air preheating with exhaust heat. Both primary reference fuels and commercial gasoline are used in the tests. HCCI combustion with commercial gasoline is achieved over a load range from 0 to 3.6bar BMEP, and over a speed range from 1000 to 5000rpm. Maximum load is at 1000rpm and decreases with an approximately straight slope to zero at 5000rpm. NOx emissions are kept below 15ppm and the rate of pressure rise below 6bar/CAD throughout the operating range. Combustion efficiency is above 90% for all positive loads. High amounts of unburned HC as well as CO emissions decrease combustion efficiency to 70% at zero load. Brake efficiencies up to 33% are obtained.

89 citations

Journal ArticleDOI
TL;DR: In this paper, the forward-backward methodology is combined with the iterative physical optics (IPO) algorithm to improve convergence for cavity scattering problems, which is mathematically equivalent to the classical iterative method of symmetric successive over-relaxation.
Abstract: The forward-backward methodology is combined with the iterative physical optics (IPO) algorithm to improve convergence for cavity scattering problems. Wave propagation inside elongated cavities, such as jet engine inlet ducts, follows a predominant down-and-back path. The forward-backward method allows the IPO currents on the cavity walls to be updated sequentially (forward) and reverse-sequentially (backward) along the waveguide axis. A relaxation parameter is introduced to help control the convergence characteristics, making the new algorithm mathematically equivalent to the classical iterative method of symmetric successive over-relaxation. The fast far-field approximation (FaFFA) accelerates the matrix-vector products in the IPO formulation, and an equivalent surface impedance is used to characterize thin material linings in the cavity.

89 citations

Journal ArticleDOI
TL;DR: In this paper, an approach to the integration of INS (inertial navigation system) and TAP (terrain-aided positioning) using one and the same filter is described.
Abstract: This paper details an approach to the integration of INS (inertial navigation system) and TAP (terrain-aided positioning). The solution is characterized by a joint design of INS and TAP, meaning that the highly nonlinear TAP is not designed separately but jointly with the INS using one and the same filter. The applied filter extends the theory of the MPF (marginalized particle filter) given by. The key idea with MPF is to estimate the nonlinear part using the particle filter (PF), and the part which is linear, conditional upon the nonlinear part, is estimated using the Kalman filter. The extension lies in the possibility to deal with a third multimodal part, where the discrete mode variable is also estimated jointly with the linear and nonlinear parts. Conditionally upon the mode and the nonlinear part, the resulting subsystem is linear and estimated using the Kalman filter. Given the nonlinear motion equations which the INS uses to compute navigation data, the INS equations must be linearized for the MPF to work. A set of linearized equations is derived and the linearization errors are shown to be insignificant with respect to the final result. Simulations are performed and the result indicates near-optimal accuracy when compared with the Cramer-Rao lower bound.

81 citations

Patent
Mark A. Saab1
03 May 1994
TL;DR: In this article, multi-lumen balloons for use as or in conjunction with balloon dilation catheters, and methods for making such balloons, are disclosed, as well as methods for their deployment.
Abstract: Multi-lumen balloons for use as or in conjunction with balloon dilation catheters, and methods for making such balloons, are disclosed.

80 citations

Journal ArticleDOI
TL;DR: This article analyzes automotive radar interference and proposes several new approaches that combine industrial and academic expertise toward the goal of achieving interference-free autonomous driving (AD).
Abstract: Autonomous driving relies on a variety of sensors, especially radars, which have unique robustness under heavy rain/fog/snow and poor light conditions. With the rapid increase of the amount of radars used on modern vehicles, where most radars operate in the same frequency band, the risk of radar interference becomes a compelling issue. This article analyzes automotive radar interference and proposes several new approaches that combine industrial and academic expertise toward the goal of achieving interference-free autonomous driving (AD).

77 citations


Authors

Showing all 760 results

NameH-indexPapersCitations
Christer Larsson6427212916
Björn Johansson6263716030
David C. Viano482328283
Thomas Schiex4713811031
Robin Hanson281143519
Per Lötstedt281092960
Brigitte Mangin26482652
Lars Hanson191171138
Carl Gustafson17341035
Magnus Carlsson1637808
Per-Johan Nordlund14262738
David Allouche1426680
Mark A. Saab13161153
Andreas Gällström1334402
Hans Hellsten1237549
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202123
202019
201925
201830
201727
201633