Hybrid iterative TDOA emitter localization using two different techniques
Alp Ertürk, Aydın Bayri
Abstract
Alp Ertürk, Aydın Bayri
Abstract
Two well developed techniques in emitter location estimation using time difference of arrival (TDOA) are analyzed and compared for different situations and noise values. These techniques are a passive localization algorithm and a closed-form solution based on association by clustering. The advantages and disadvantages of these techniques are determined and supported by the simulation examples. Also, a hybrid model, using these two methods and including an iterative process based on maximum likelihood (ML) is presented and analyzed in performance.
OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Two well developed techniques in emitter location estimation using time difference of arrival (TDOA) are analyzed and compared for different situations and noise values. These techniques are a passive localization algorithm and a closed-form solution based on association by clustering. The advantages and disadvantages of these techniques are determined and supported by the simulation examples. Also, a hybrid model, using these two methods and including an iterative process based on maximum likelihood (ML) is presented and analyzed in performance.
Key concepts: Multilateration, FDOA, Common emitter, Iterative method, Computer science, Iterative and incremental development, Cluster analysis, Noise (video)