A unifying approach to minimal problems in collinear and planar TDOA sensor network self-calibration. Ask, E., Kuang, Y., & Åström, K. In *2014 22nd European Signal Processing Conference (EUSIPCO)*, pages 1935-1939, Sep., 2014.

Paper abstract bibtex

Paper abstract bibtex

This work presents a study of sensor network calibration from time-difference-of-arrival (TDOA) measurements for cases when the dimensions spanned by the receivers and the transmitters differ. This could for example be if receivers are restricted to a line or plane or if the transmitting objects are moving linearly in space. Such calibration arises in several applications such as calibration of (acoustic or ultra-sound) microphone arrays, and radio antenna networks. We propose a non-iterative algorithm based on recent stratified approaches: (i) rank constraints on modified measurement matrix, (ii) factorization techniques that determine transmitters and receivers up to unknown affine transformation and (iii) determining the affine stratification using remaining non-linear constraints. This results in a unified approach to solve almost all minimal problems. Such algorithms are important components for systems for self-localization. Experiments are shown both for simulated and real data with promising results.

@InProceedings{6952707, author = {E. Ask and Y. Kuang and K. Åström}, booktitle = {2014 22nd European Signal Processing Conference (EUSIPCO)}, title = {A unifying approach to minimal problems in collinear and planar TDOA sensor network self-calibration}, year = {2014}, pages = {1935-1939}, abstract = {This work presents a study of sensor network calibration from time-difference-of-arrival (TDOA) measurements for cases when the dimensions spanned by the receivers and the transmitters differ. This could for example be if receivers are restricted to a line or plane or if the transmitting objects are moving linearly in space. Such calibration arises in several applications such as calibration of (acoustic or ultra-sound) microphone arrays, and radio antenna networks. We propose a non-iterative algorithm based on recent stratified approaches: (i) rank constraints on modified measurement matrix, (ii) factorization techniques that determine transmitters and receivers up to unknown affine transformation and (iii) determining the affine stratification using remaining non-linear constraints. This results in a unified approach to solve almost all minimal problems. Such algorithms are important components for systems for self-localization. Experiments are shown both for simulated and real data with promising results.}, keywords = {antennas;calibration;microphone arrays;sensors;self-localization;minimal problems;affine stratification;factorization techniques;rank constraints;noniterative algorithm;radio antenna networks;microphone arrays;transmitters;receivers;time-difference-of-arrival measurements;self-calibration;planar TDOA sensor network;collinear TDOA sensor network;unifying approach;Receivers;Microphones;Equations;Transmitters;Calibration;Synchronization;Transmission line matrix methods;Time-difference-of-arrival;anchor-free calibration;sensor networks}, issn = {2076-1465}, month = {Sep.}, url = {https://www.eurasip.org/proceedings/eusipco/eusipco2014/html/papers/1569925215.pdf}, }

Downloads: 0

{"_id":"3aH552jcJf5nk5abL","bibbaseid":"ask-kuang-strm-aunifyingapproachtominimalproblemsincollinearandplanartdoasensornetworkselfcalibration-2014","authorIDs":[],"author_short":["Ask, E.","Kuang, Y.","Åström, K."],"bibdata":{"bibtype":"inproceedings","type":"inproceedings","author":[{"firstnames":["E."],"propositions":[],"lastnames":["Ask"],"suffixes":[]},{"firstnames":["Y."],"propositions":[],"lastnames":["Kuang"],"suffixes":[]},{"firstnames":["K."],"propositions":[],"lastnames":["Åström"],"suffixes":[]}],"booktitle":"2014 22nd European Signal Processing Conference (EUSIPCO)","title":"A unifying approach to minimal problems in collinear and planar TDOA sensor network self-calibration","year":"2014","pages":"1935-1939","abstract":"This work presents a study of sensor network calibration from time-difference-of-arrival (TDOA) measurements for cases when the dimensions spanned by the receivers and the transmitters differ. This could for example be if receivers are restricted to a line or plane or if the transmitting objects are moving linearly in space. Such calibration arises in several applications such as calibration of (acoustic or ultra-sound) microphone arrays, and radio antenna networks. We propose a non-iterative algorithm based on recent stratified approaches: (i) rank constraints on modified measurement matrix, (ii) factorization techniques that determine transmitters and receivers up to unknown affine transformation and (iii) determining the affine stratification using remaining non-linear constraints. This results in a unified approach to solve almost all minimal problems. Such algorithms are important components for systems for self-localization. Experiments are shown both for simulated and real data with promising results.","keywords":"antennas;calibration;microphone arrays;sensors;self-localization;minimal problems;affine stratification;factorization techniques;rank constraints;noniterative algorithm;radio antenna networks;microphone arrays;transmitters;receivers;time-difference-of-arrival measurements;self-calibration;planar TDOA sensor network;collinear TDOA sensor network;unifying approach;Receivers;Microphones;Equations;Transmitters;Calibration;Synchronization;Transmission line matrix methods;Time-difference-of-arrival;anchor-free calibration;sensor networks","issn":"2076-1465","month":"Sep.","url":"https://www.eurasip.org/proceedings/eusipco/eusipco2014/html/papers/1569925215.pdf","bibtex":"@InProceedings{6952707,\n author = {E. Ask and Y. Kuang and K. Åström},\n booktitle = {2014 22nd European Signal Processing Conference (EUSIPCO)},\n title = {A unifying approach to minimal problems in collinear and planar TDOA sensor network self-calibration},\n year = {2014},\n pages = {1935-1939},\n abstract = {This work presents a study of sensor network calibration from time-difference-of-arrival (TDOA) measurements for cases when the dimensions spanned by the receivers and the transmitters differ. This could for example be if receivers are restricted to a line or plane or if the transmitting objects are moving linearly in space. Such calibration arises in several applications such as calibration of (acoustic or ultra-sound) microphone arrays, and radio antenna networks. We propose a non-iterative algorithm based on recent stratified approaches: (i) rank constraints on modified measurement matrix, (ii) factorization techniques that determine transmitters and receivers up to unknown affine transformation and (iii) determining the affine stratification using remaining non-linear constraints. This results in a unified approach to solve almost all minimal problems. Such algorithms are important components for systems for self-localization. Experiments are shown both for simulated and real data with promising results.},\n keywords = {antennas;calibration;microphone arrays;sensors;self-localization;minimal problems;affine stratification;factorization techniques;rank constraints;noniterative algorithm;radio antenna networks;microphone arrays;transmitters;receivers;time-difference-of-arrival measurements;self-calibration;planar TDOA sensor network;collinear TDOA sensor network;unifying approach;Receivers;Microphones;Equations;Transmitters;Calibration;Synchronization;Transmission line matrix methods;Time-difference-of-arrival;anchor-free calibration;sensor networks},\n issn = {2076-1465},\n month = {Sep.},\n url = {https://www.eurasip.org/proceedings/eusipco/eusipco2014/html/papers/1569925215.pdf},\n}\n\n","author_short":["Ask, E.","Kuang, Y.","Åström, K."],"key":"6952707","id":"6952707","bibbaseid":"ask-kuang-strm-aunifyingapproachtominimalproblemsincollinearandplanartdoasensornetworkselfcalibration-2014","role":"author","urls":{"Paper":"https://www.eurasip.org/proceedings/eusipco/eusipco2014/html/papers/1569925215.pdf"},"keyword":["antennas;calibration;microphone arrays;sensors;self-localization;minimal problems;affine stratification;factorization techniques;rank constraints;noniterative algorithm;radio antenna networks;microphone arrays;transmitters;receivers;time-difference-of-arrival measurements;self-calibration;planar TDOA sensor network;collinear TDOA sensor network;unifying approach;Receivers;Microphones;Equations;Transmitters;Calibration;Synchronization;Transmission line matrix methods;Time-difference-of-arrival;anchor-free calibration;sensor networks"],"metadata":{"authorlinks":{}},"downloads":0},"bibtype":"inproceedings","biburl":"https://raw.githubusercontent.com/Roznn/EUSIPCO/main/eusipco2014url.bib","creationDate":"2021-02-13T17:43:41.743Z","downloads":0,"keywords":["antennas;calibration;microphone arrays;sensors;self-localization;minimal problems;affine stratification;factorization techniques;rank constraints;noniterative algorithm;radio antenna networks;microphone arrays;transmitters;receivers;time-difference-of-arrival measurements;self-calibration;planar tdoa sensor network;collinear tdoa sensor network;unifying approach;receivers;microphones;equations;transmitters;calibration;synchronization;transmission line matrix methods;time-difference-of-arrival;anchor-free calibration;sensor networks"],"search_terms":["unifying","approach","minimal","problems","collinear","planar","tdoa","sensor","network","self","calibration","ask","kuang","åström"],"title":"A unifying approach to minimal problems in collinear and planar TDOA sensor network self-calibration","year":2014,"dataSources":["A2ezyFL6GG6na7bbs","oZFG3eQZPXnykPgnE"]}