This paper proposes a novel measurement method for multiple Radio Frequency (RF) emitters localization, which relies on RF sensors exploiting Non Uniform Sampling (NUS) and Time Difference of Arrival (TDoA) measurements. The observed RF emitters signals are reconstructed from the compressed samples by means of Multiple Measurement Vectors (MMV) based Orthogonal Matching Pursuit (OMP) algorithm. The method has been tested in simulation for assessing the improvement in the signal reconstruction quality and position measurement errors in terms of Root Mean Square Error (RMSE). The obtained results were compared against a method already available in literature. The proposed method exhibits a RMSE in the order of 1m for the localization of two RF emitters by using four RF sensors performing NUS with a compression ratio up to 30.
RF emitters localization from compressed measurements exploiting MMV-OMP algorithm
Picariello F.;
2020-01-01
Abstract
This paper proposes a novel measurement method for multiple Radio Frequency (RF) emitters localization, which relies on RF sensors exploiting Non Uniform Sampling (NUS) and Time Difference of Arrival (TDoA) measurements. The observed RF emitters signals are reconstructed from the compressed samples by means of Multiple Measurement Vectors (MMV) based Orthogonal Matching Pursuit (OMP) algorithm. The method has been tested in simulation for assessing the improvement in the signal reconstruction quality and position measurement errors in terms of Root Mean Square Error (RMSE). The obtained results were compared against a method already available in literature. The proposed method exhibits a RMSE in the order of 1m for the localization of two RF emitters by using four RF sensors performing NUS with a compression ratio up to 30.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
