Matches in SemOpenAlex for { <https://semopenalex.org/work/W4380451152> ?p ?o ?g. }
- W4380451152 endingPage "12" @default.
- W4380451152 startingPage "1" @default.
- W4380451152 abstract "Autonomous driving and advanced active safety features require accurate high-resolution sensing capabilities. Automotive radars are the key component of the vehicle sensing suit. However, when these radars operate in proximity to flat surfaces, such as roads and guardrails, they experience a multipath phenomenon that can degrade the accuracy of the direction-of-arrival (DOA) estimation. Presence of multipath leads to misspecification in the radar data model, resulting in estimation performance degradation, which cannot be reliably predicted by conventional performance bounds. In this paper, the misspecified Cramér-Rao bound (MCRB), which accounts for model misspecification, is derived for the problem of DOA estimation in the presence of multipath which is ignored by the estimator. Analytical relations between the MCRB and the Cramér-Rao bound are established, and the DOA estimation performance degradation due to multipath is investigated. The results show that the MCRB reliably predicts the asymptotic performance of the misspecified maximum-likelihood estimator and therefore, can serve as an efficient tool for automotive radar performance evaluation and system design." @default.
- W4380451152 created "2023-06-14" @default.
- W4380451152 creator A5015780969 @default.
- W4380451152 creator A5024794538 @default.
- W4380451152 creator A5051286726 @default.
- W4380451152 date "2023-01-01" @default.
- W4380451152 modified "2023-10-16" @default.
- W4380451152 title "MCRB on DOA Estimation for Automotive MIMO Radar in the Presence of Multipath" @default.
- W4380451152 cites W1519495328 @default.
- W4380451152 cites W1944127892 @default.
- W4380451152 cites W1979671221 @default.
- W4380451152 cites W1990958021 @default.
- W4380451152 cites W1994096034 @default.
- W4380451152 cites W1998880686 @default.
- W4380451152 cites W2023224488 @default.
- W4380451152 cites W2029249125 @default.
- W4380451152 cites W2031512716 @default.
- W4380451152 cites W2037050360 @default.
- W4380451152 cites W2042577321 @default.
- W4380451152 cites W2096362139 @default.
- W4380451152 cites W2100414719 @default.
- W4380451152 cites W2103593873 @default.
- W4380451152 cites W2111640869 @default.
- W4380451152 cites W2142017648 @default.
- W4380451152 cites W2171576754 @default.
- W4380451152 cites W2184750032 @default.
- W4380451152 cites W2195832715 @default.
- W4380451152 cites W2291855080 @default.
- W4380451152 cites W2330070481 @default.
- W4380451152 cites W2333114198 @default.
- W4380451152 cites W2339186457 @default.
- W4380451152 cites W2444464560 @default.
- W4380451152 cites W2592680288 @default.
- W4380451152 cites W2611939839 @default.
- W4380451152 cites W2731533474 @default.
- W4380451152 cites W2759547991 @default.
- W4380451152 cites W2773991003 @default.
- W4380451152 cites W2783964884 @default.
- W4380451152 cites W2811404158 @default.
- W4380451152 cites W2911622816 @default.
- W4380451152 cites W2921469264 @default.
- W4380451152 cites W2972356219 @default.
- W4380451152 cites W2972647541 @default.
- W4380451152 cites W2973083596 @default.
- W4380451152 cites W2973146207 @default.
- W4380451152 cites W2973772768 @default.
- W4380451152 cites W2997317704 @default.
- W4380451152 cites W3013274043 @default.
- W4380451152 cites W3040306570 @default.
- W4380451152 cites W3040360205 @default.
- W4380451152 cites W3130277620 @default.
- W4380451152 cites W3160418042 @default.
- W4380451152 cites W3173408828 @default.
- W4380451152 cites W3201093223 @default.
- W4380451152 cites W3208458111 @default.
- W4380451152 cites W3211151174 @default.
- W4380451152 cites W4250721005 @default.
- W4380451152 cites W4298360804 @default.
- W4380451152 cites W4310169937 @default.
- W4380451152 doi "https://doi.org/10.1109/taes.2023.3285861" @default.
- W4380451152 hasPublicationYear "2023" @default.
- W4380451152 type Work @default.
- W4380451152 citedByCount "0" @default.
- W4380451152 crossrefType "journal-article" @default.
- W4380451152 hasAuthorship W4380451152A5015780969 @default.
- W4380451152 hasAuthorship W4380451152A5024794538 @default.
- W4380451152 hasAuthorship W4380451152A5051286726 @default.
- W4380451152 hasBestOaLocation W43804511522 @default.
- W4380451152 hasConcept C105795698 @default.
- W4380451152 hasConcept C11413529 @default.
- W4380451152 hasConcept C127162648 @default.
- W4380451152 hasConcept C127413603 @default.
- W4380451152 hasConcept C161218011 @default.
- W4380451152 hasConcept C172051844 @default.
- W4380451152 hasConcept C185429906 @default.
- W4380451152 hasConcept C207987634 @default.
- W4380451152 hasConcept C21822782 @default.
- W4380451152 hasConcept C24326235 @default.
- W4380451152 hasConcept C33923547 @default.
- W4380451152 hasConcept C41008148 @default.
- W4380451152 hasConcept C554190296 @default.
- W4380451152 hasConcept C76155785 @default.
- W4380451152 hasConcept C79403827 @default.
- W4380451152 hasConceptScore W4380451152C105795698 @default.
- W4380451152 hasConceptScore W4380451152C11413529 @default.
- W4380451152 hasConceptScore W4380451152C127162648 @default.
- W4380451152 hasConceptScore W4380451152C127413603 @default.
- W4380451152 hasConceptScore W4380451152C161218011 @default.
- W4380451152 hasConceptScore W4380451152C172051844 @default.
- W4380451152 hasConceptScore W4380451152C185429906 @default.
- W4380451152 hasConceptScore W4380451152C207987634 @default.
- W4380451152 hasConceptScore W4380451152C21822782 @default.
- W4380451152 hasConceptScore W4380451152C24326235 @default.
- W4380451152 hasConceptScore W4380451152C33923547 @default.
- W4380451152 hasConceptScore W4380451152C41008148 @default.
- W4380451152 hasConceptScore W4380451152C554190296 @default.
- W4380451152 hasConceptScore W4380451152C76155785 @default.
- W4380451152 hasConceptScore W4380451152C79403827 @default.