MIMO OFDM DOA Estimation Algorithm Implementation and Validation Using SDR Platform

Martin, Arnaud; Arshak, Babayan

doi:10.24138/jcomss.v15i1.618

Cited by 5 publications

(2 citation statements)

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“…In wireless communication, the open-source GNU Radio is used as a prominent tool to validate the communications system and to analyze the error rate measurements in real-time. In [17] suggested a Software Defined Radio (SDR) system with Multiple Input Multiple Output (MIMO) to create a computationally efficient direction of arrival (DOA) estimation. The SDR Implementation DOA showed the most accurate estimation of the directions of arrived signals.…”

Section: Related Workmentioning

confidence: 99%

An Efficient Reconfigurable Architecture for Software Defined Radio

BHASKAR C,

2023

IEICE Trans. Inf. & Syst.

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Wireless technology improvements have been continually increasing, resulting in greater needs for system design and implementation to accommodate all newly emerging standards. As a result, developing a system that ensures compatibility with numerous wireless systems has sparked interest. As a result of their flexibility and scalability over alternative wireless design options, software-defined radios (SDRs) are highly motivated for wireless device modelling. This research paper delves into the difficulties of designing a reconfigurable multi modulation baseband modulator for SDR systems that can handle a variety of wireless protocols. This research paper has proposed an area-efficient Reconfigurable Baseband Modulator (RBM) model to accomplish multi modulation scheme and resolve the adaptability and flexibility issues with the wide range of wireless standards. This also presents the feasibility of using a multi modulation baseband modulator to maximize adaptability with the least possible computational complexity overhead in the SDR system for next-generation wireless communication systems and provides parameterization. Finally, the re-configurability is evaluated concerning the appropriate symbols generations and analyzed its performance metrics through hardware synthesize results.

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Section: Related Workmentioning

confidence: 99%

An Efficient Reconfigurable Architecture for Software Defined Radio

BHASKAR C,

2023

IEICE Trans. Inf. & Syst.

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“…An OFDM signal is a multi-carriers narrowband modulated signal that is effective for frequency selective fading [26]. Combined with MIMO technology, signal transmission performance in indoor environment can be improved [27]. Therefore, using OFDM signals to study DOA estimation based on antenna arrays will play a crucial role in indoor localization.…”

Section: The Signal Mathematical Modelmentioning

confidence: 99%

Accurate DOA Estimation With Adjacent Angle Power Difference for Indoor Localization

et al. 2020

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Indoor localization with high accuracy plays a key role in the field of Internet of Things in 5th-Generation (5G) era. With the introduction of Multiple Input Multiple Output (MIMO) technology in 5G, the direction-of-arrival (DOA) method is highly feasible in indoor localization. However, the direction of arrival is susceptible to complex indoor environment. To improve the accuracy and stability of DOA estimation, an adjacent angle power difference (AAPD) method is proposed based on Orthogonal Matching Pursuit (OMP). This method uses OMP to obtain an initial estimate of the direction, and then, adjusts the estimation by calculating the difference power of adjacent points at initial value point to get the fractional DOA. In the scenario of continuous movement, beamforming is further applied, which reduces the amount of calculation. Both simulation and experimental results show that the proposed method can achieve high accuracy and eliminate the error jitter. Compared with the classical Multiple Signal Classification (MUSIC) method for DOA estimation, the proposed method can increase accuracy by 46% under the condition of low SNR (Signal-to-Noise Ratio). The probability that the measurement error does not exceed 5 • in the actual movement tests is 97.5%.

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