Infrared Fire Alarm for Vehicle Protection

Curva, Jose; Lourenço, Miguel; Paulino, Nuno; Oliveira, João P.; Oliveira, Leonardo Rocha de; Oliveira, Henrique

doi:10.1109/yef-ece49388.2020.9171813

Cited by 2 publications

(2 citation statements)

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“…The multisensor node includes infrared (IR) cameras to classify the fire front and spot fires. But, these sensors must be low cost since a huge number of sensors distributed over the terrain are required to cover the very large forest areas, which leads to many difficulties, since they are destroyed or need to be repaired due to the wildfires very high temperature in a very large area [2,3]. The current generation of IR cameras achieves high-speed and high-resolution thermal imaging making them important tools in critical scenarios as in the case of firefighting emergencies or rescue missions.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Impact and compensation of carrier synchronization errors in OFDM signals with very large QAM constellations

et al. 2023

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Low cost video sensors used for streaming video signals to help firefighters, require high bit rate due to uncompressed images. To increase spectral efficiency given a limited bandwidth, very high order constellations in high signal to noise ratio regimes can be used. However, noise is not the only factor effecting the high order constellations. These constellations are also sensitive to hardware impairments and system non‐linearities. Therefore, in this paper, the effect of carrier frequency offset (CFO) on the performance of an orthogonal frequency division multiplexing (OFDM) system with high order quadrature amplitude modulation (QAM) is studied. A closed form expression is derived for the maximum normalized residual CFO that an OFDM system with M‐QAM constellation can resist to have an error free symbol detection. Finally, the suitability of common previous CFO estimation techniques such as the cyclic prefix based technique and the Moose technique in these systems are investigate. The results show that the maximum residual CFO that an OFDM system with M‐QAM constellation can resist is proportional to the inverse of M−1$\sqrt {M-1}$. The results also show that very large order QAM constellations such as 4096‐QAM are very sensitive to even small residual CFO values and their performance degrades, significantly. However, the bit error rate analysis indicate that the Moose CFO estimation technique can be used in these systems to compensate the CFO effect, accurately.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%