A Novel SDR-Based P-Band PRN Radar With Real Time Range Compression and Coherent Integration

Active microwave remote sensing at P-band offers the potential to map vegetation biomass and subsurface soil moisture. This paper presents the development of a novel Software-Defined Radio (SDR)-based Pseudo-Random Noise (PRN) radar operating at P-band. Utilizing GNU Radio, it is the first one of its kind performing real-time range compression and coherent integration, achieving a signal-to-noise ratio (SNR) of up to 64.4 dB. Operating at a low transmit power of 10 dBm, experimental results validate the system’s performance, demonstrating its potential for remote sensing applications.

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Publication Details

Journal
IEEE Access
Published
2025-01-01
DOI
https://doi.org/10.1109/access.2025.3590285
Primary Topic
Radar Systems and Signal Processing
Type
article
Field-Weighted Citation Impact
0.00

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article

A Novel SDR-Based P-Band PRN Radar With Real Time Range Compression and Coherent Integration

Abdul-Halim Jallad, Edwar Edwar, Yasir M. O. Abbas, Adriano Camps et al.
IEEE Access
Radar Systems and Signal Processing
article

A Novel SDR-Based P-Band PRN Radar With Real Time Range Compression and Coherent Integration

Abdul-Halim Jallad, Edwar Edwar, Yasir M. O. Abbas, Adriano Camps, Shah Zahid Khan
article en

Abstract

Active microwave remote sensing at P-band offers the potential to map vegetation biomass and subsurface soil moisture. This paper presents the development of a novel Software-Defined Radio (SDR)-based Pseudo-Random Noise (PRN) radar operating at P-band. Utilizing GNU Radio, it is the first one of its kind performing real-time range compression and coherent integration, achieving a signal-to-noise ratio (SNR) of up to 64.4 dB. Operating at a low transmit power of 10 dBm, experimental results validate the system’s performance, demonstrating its potential for remote sensing applications.

IEEE AccessVol. 13
United Arab Emirates University (AE)
United Arab Emirates University
Affordable and clean energy
Openalex Percentile: Top 72%
Radar Systems and Signal Processing
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