Search Results for author: Mostafa Mohammadkarimi

Found 6 papers, 1 papers with code

Cooperative Sense and Avoid for UAVs using Secondary Radar

no code implementations5 Jun 2023 Mostafa Mohammadkarimi, Raj Thilak Rajan

A cooperative Sense and Avoid (SAA) algorithm for safe navigation of small-sized UAVs within an airspace is proposed in this paper.

Activity Detection for Grant-Free NOMA in Massive IoT Networks

no code implementations23 Dec 2022 Mehrtash Mehrabi, Mostafa Mohammadkarimi, Masoud Ardakani

This is while existing methods need to know the activity rate of IoT devices, while our method works for unknown and even time-varying activity rates

Action Detection Activity Detection

Artificial Potential Field-Based Path Planning for Cluttered Environments

1 code implementation31 Oct 2022 Mosab Diab, Mostafa Mohammadkarimi, Raj Thilak Rajan

First, we propose to improve an existing classical method that replaces the gradient descent optimization of the potential field cost function on a continuous domain with a combinatorial optimization on a set of predefined points (called bacteria points) around the agent's current location.

Combinatorial Optimization

Joint Ranging and Phase Offset Estimation for Multiple Drones using ADS-B Signatures

no code implementations12 Jul 2022 Mostafa Mohammadkarimi, Geert Leus, Raj Thilak Rajan

While the proposed estimator can estimate the range of multiple drones with a single receive antenna, a larger number of drones can be supported with higher accuracy by the use of multiple antennas at the receiver.

Combinatorial Optimization

An Approximate Maximum Likelihood Time Synchronization Algorithm for Zero-padded OFDM in Channels with Impulsive Gaussian Noise

no code implementations14 Aug 2020 Koosha Pourtahmasi Roshandeh, Mostafa Mohammadkarimi, Masoud Ardakani

In wireless communication systems, Orthogonal Frequency-Division Multiplexing (OFDM) includes variants using either a cyclic prefix (CP) or a zero padding (ZP) as the guard interval to avoid inter-symbol interference.

Deep Learning Based Sphere Decoding

no code implementations6 Jul 2018 Mostafa Mohammadkarimi, Mehrtash Mehrabi, Masoud Ardakani, Yindi Jing

In this paper, a deep learning (DL)-based sphere decoding algorithm is proposed, where the radius of the decoding hypersphere is learned by a deep neural network (DNN).

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