Multichannel SDR Platforms for Mobile PCL Applications

Mazurek, Gustaw; Kulpa, Krzysztof; Droszcz, Aleksander

doi:10.1109/maes.2021.3052307

Cited by 6 publications

(3 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The signal processing algorithms described in the previous section are implemented in the pre-processing block that is placed before the clutter removal filter (see Figure 13 ). The signal processing algorithms (implemented in Matlab environment) get the raw baseband signals acquired in the system described in [ 12 ] (with time delays and phase shifts corrected using the method based on pilot signals [ 32 , 36 ]) and return the cross-ambiguity function plots as output. The integration time was set to 5 s in all the following experiments.…”

Section: Resultsmentioning

confidence: 99%

“…The PCL signal acquisition platform was moving [ 13 ] because of the installation on a ship sailing on the Baltic Sea, near the Polish coastline. The PCL receiver was based on a lightweight, four-channel configuration with RSP duo devices described in [ 32 ]. Further details of the system setup, antenna array, and supplementing hardware have been described in [ 12 ].…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

DAB Signal Preprocessing for Passive Coherent Location

Mazurek

2022

Sensors

Self Cite

View full text Add to dashboard Cite

Digital Audio Broadcast (DAB) transmitters can be successfully used as illumination sources in Passive Coherent Location (PCL). However, extending the integration time in such a configuration leads to the occurrence of periodical artifacts in the bistatic range/Doppler plots, resulting from the time structure of the DAB signal. In this paper, we propose some methods of signal preprocessing (based on symbol removal, substitution by noise, and duplication) that operate on the DAB transmission frame level and improve the received signal’s correlation properties. We also demonstrate that two of these methods allow us to avoid the mentioned artifacts and thus to improve the quality of the range/Doppler plots with detection results. We evaluate the performance of the proposed methods using real DAB signals acquired in an experimental PCL platform. We also provide the analysis of the Signal to Noise Ratio (SNR) during the detection of a moving target which shows that the proposed solution, based on symbol duplication, can offer around 3 dB of gain in SNR. Finally, we carry out the computational complexity analysis showing that the proposed method can be implemented with a minimal cost after some optimizations.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

DAB Signal Preprocessing for Passive Coherent Location

Mazurek

2022

Sensors

Self Cite

View full text Add to dashboard Cite

show abstract

“…Compared with the active location, it has the advantages of low power consumption and longer positioning distance. With the increasing maturity of low-cost commercial-off-the-shelf (COTS) software-defined radio (SDR), radio frequency system-on-chip (RFSoC), and other products [1], the cost of distributed passive location systems has reduced, making it highly valuable in search and rescue [2], intelligent logistics [3], urban positioning [4], and other fields [5,6].…”

Section: Introductionmentioning

confidence: 99%

High-Precision Time Difference of Arrival Estimation Method Based on Phase Measurement

Xin,

Ge,

Zhang

et al. 2024

Remote Sensing

View full text Add to dashboard Cite

In unmanned aerial vehicle (UAV)-based time difference of arrival (TDOA) positioning technique, baselines are limited due to communication constraints. In this case, the accuracy is highly sensitive to the TDOA measurements’ error. This article primarily addresses the problem of short-baseline high-precision time synchronization and TDOA measurement. We conducted a detailed analysis of error models in TDOA systems, considering both the time and phase measurement. We utilize the frequency division wireless phase synchronization technique in TDOA systems. Building upon this synchronization scheme, we propose a novel time delay estimation method that relies on phase measurements based on the integer least squares method. The performance of this method is demonstrated through Monte Carlo simulations and outdoor experiments. The standard deviations of synchronization and TDOA measurements in experiments are 1.12 ps and 1.66 ps, respectively. Furthermore, the circular error probable (CEP) accuracy is improved from 0.33%R to 0.02%R, offering support for the practical application of distributed short-baseline high-precision passive location techniques.

show abstract