Kilian Rambach
University of Stuttgart
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Publication
Featured researches published by Kilian Rambach.
international conference on acoustics, speech, and signal processing | 2013
Kilian Rambach; Bin Yang
Multiple-Input-Multiple-Output (MIMO) radars with colocated transmit and receive antennas offer the advantage of a larger (virtual) aperture compared to a conventional Single-Input-Multiple-Output (SIMO) radar. Hence a higher accuracy of the estimated direction of arrival (DOA) of a target can be achieved. In general, the accuracy of DOA estimators decreases in a MIMO radar if the target moves relative to the radar, because the motion causes an unknown phase change of the baseband signal due to the Doppler effect. We compute the Cramer-Rao bound (CRB) of DOA estimation of a non-stationary target for a MIMO radar with colocated antennas for a general time division multiplexing (TDM) scheme. This allows a quantitative comparison of different MIMO and SIMO radars. Moreover, we derive an optimal TDM scheme such that the CRB is as small as in the stationary case. The results are confirmed by simulations.
ieee radar conference | 2014
Kilian Rambach; Bin Yang
A Multiple-Input-Multiple-Output (MIMO) radar with colocated transmit and receive antennas has a larger virtual aperture compared to the corresponding Single-Input-Single-Output (SIMO) radar. Therefore, it can achieve a more accurate Direction of Arrival (DOA) estimation. Due to the Doppler effect, a target moving relative to the radar system results in an additional phase shift of the baseband signal. In general, this leads to a decrease in the DOA estimation accuracy. We consider time division multiplexed (TDM) MIMO radars and derive the Cramer-Rao Bound (CRB) for the DOA and Doppler frequency estimation of two moving targets. This is done for general TDM schemes. This enables to compare the achievable accuracy for different TDM MIMO radars. We derive conditions for TDM schemes which lead to a decoupling of the Doppler frequencies and DOAs in the CRB. Hence a CRB of DOAs can be achieved which is as small as if the Doppler frequencies are known a priori. We define a statistical resolution limit to separate both targets with the help of the CRB and compare the resolution of a TDM MIMO radar to that of a SIMO radar.
international symposium on signal processing and information technology | 2014
Kilian Rambach; Markus Vogel; Bin Yang
A Multiple-Input-Multiple-Output (MIMO) radar can achieve a higher accuracy in direction of arrival (DOA) estimation compared to a corresponding Single-Input-Multiple-Output (SIMO) radar due to its larger virtual aperture. If the target is moving relative to the radar, an additional phase shift is introduced into the baseband signal because of the Doppler effect. Hence the Doppler frequency has to be estimated in addition to the DOA. In general, this decreases the DOA estimation accuracy. We investigate MIMO radars using time division multiplexing (TDM). We derive the Cramer-Rao bound (CRB) for a moving target and a general TDM scheme and compare it to other radar systems. Moreover we derive optimal TDM schemes which minimize the CRB under different constraints.
european signal processing conference | 2016
Michael Ulrich; Kilian Rambach; Bin Yang
Multi-carrier (MC) multiple-input multiple-output (MIMO) radar was recently applied to build sparse virtual arrays with a large aperture for a high-accuracy direction-of-arrival (DOA) estimation. The resulting grating lobes (DOA ambiguities) were resolved using multiple carriers. One problem of MC-MIMO is the coupling of the unknown parameters range and DOA. In this contribution, we study this range-DOA coupling for MC-MIMO systems. We consider both Cramer-Rao bound (CRB) of these parameters and their estimation. We show that a suitable choice of the coordinate system decouples range and DOA parameters in both CRB and estimation. This enables a sequential range and DOA estimation instead of a more complex joint estimation. Explanations of this phenomenon are given and simulation results confirm the theoretical findings.
Archive | 2014
Benedikt Loesch; Kilian Rambach; Goetz Kuehnle; Michael Schoor
Archive | 2014
Michael Schoor; Goetz Kuehnle; Kilian Rambach; Benedikt Loesch
Archive | 2017
Kilian Rambach
Archive | 2015
Kilian Rambach; Markus Vogel
Archive | 2015
Kilian Rambach; Markus Vogel
Archive | 2014
Kilian Rambach; Markus Vogel