A new pseudolinear solution to bearing-only tracking

Hejazi, Farzam; Khalili, Mohsen; Norouzi, Yaser; Nayebi, Mohammad Mahdi

doi:10.1109/radar.2013.6586099

Cited by 6 publications

(3 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Nonetheless, referring to (7), the first network can make use of independency of noise at first and second antennas to mitigate noise level heavily. Given only one PU is located in the area, we assume that each antenna of the second network measures DOA of the signal transmitted by the PU utilizing spatial search at each array [34], and consequently localizes the PU using the total least square technique [35]. We also assume that antennas of each ULA are placed half wave-length apart.…”

Section: Simulation Resultsmentioning

confidence: 99%

A Tensor-based Localization Framework Exploiting Phase Interferometry Measurements

Hejazi¹,

Joneidi²,

Rahnavard³

2020

Preprint

View full text Add to dashboard Cite

In this paper, a framework for localization of multiple co-channel transmitters using phase difference measurements between two antennas mounted on sensors of a sensor network is proposed. To pursue localization, we equip each sensor with two antennas and we use temporal cross-correlations between the received signals of the two antennas to extract the phase differences between each antenna pairs, named as phase interferometry measurements (PIMs), provoked by each transmitters using tensor decomposition. We calculate Cramer-Rao lower bound of error of localization using PIMs. Our simulation results show that highly accurate estimations can be achieved using PIMs. We also compare the accuracy of our proposed technique with a sensor network that exploits highly directional linear array antennas and show that our proposed technique can perform similar to a network that employs very large antenna arrays.

show abstract

Section: Simulation Resultsmentioning

confidence: 99%

A Tensor-based Localization Framework Exploiting Phase Interferometry Measurements

Hejazi¹,

Joneidi²,

Rahnavard³

2020

Preprint

View full text Add to dashboard Cite

show abstract

“…Primitive DoA estimation techniques use pencil beam antennas (e.g. dish antennas) along with mechanical actuators for steering the beam and spatial search [15], [16], [17], [18], [19], [20]. More recent techniques, use beamforming techniques over array antennas to obtain narrow beams.…”

Section: Related Workmentioning

confidence: 99%

Phase Spectrometry For High Precision mm-Wave DoA Estimation In 5G Systems

Hejazi¹,

Rahnavard²

2021

Preprint

View full text Add to dashboard Cite

In this paper, we introduce a direction of arrival (DoA) estimation method based on a technique named phase spectrometry (PS) that is mainly suitable for mm-Wave and Tera-hertz applications as an alternative for DoA estimation using antenna arrays. PS is a conventional technique in optics to measure phase difference between two waves at different frequencies of the spectrum. Here we adapt PS for the same purpose in the radio frequency band. We show that we can emulate a large array exploiting only two antennas. To this end, we measure phase difference between the two antennas for different frequencies using PS. Consequently, we demonstrate that we can radically reduce the complexity of the receiver required for DoA estimation employing PS. We consider two different schemes for implementation of PS: via a long wave-guide and frequency code-book. We show that using a frequency code-book, higher processing gain can be achieved. Moreover, we introduce three PS architectures: for device to device DoA estimation, for base-station in uplink scenario and an ultra-fast DoA estimation technique mainly for radar and aerial and satellite communications. Simulation and analytical results show that, PS is capable of detecting and discriminating between multiple incoming signals with different DoAs. Moreover, our results also show that, the angular resolution of PS depends on the distance between the two antennas and the band-width of the frequency code-book. Finally, the performance of PS is compared with a uniform linear array (ULA) and it is shown that PS can perform the same, with a much less complex receiver, and without the prerequisite of spatial search for DoA estimation.

show abstract

“…Then, signal detection occurs in different locations and the data can be used to locate the emitter. The Angle of arrival (AOA) triangulation method, time difference of arrival (TDOA), frequency difference of arrival (FDOA) and a combination of these three methods are presented in the literature to find an emitter position [20–23].…”

Section: Introductionmentioning

confidence: 99%