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DS Processor Application In SONAR Systems

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Published in: Electronics | Embedded Systems
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Here, the use of Digital Signal Processor and its uses in SONAR Systems in shown.

Ankan D / Guwahati

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  1. DSP Processor Application in SONAR Systems Name: Ankan Debnath RollN0. : PT-2218390004 MTech 2nd Sem Gauhati University ECE-2055
  2. Outline Introduction Block Diagram Why DSP Processors in SONAR? Key Applications of DSP Processors in Sonar Calculations Pros And Cons Of SONAR Technology Conclusion
  3. Introduction SONAR (Sound Navigation and Ranging) is a technology used for underwater communication, navigation, and detection of objects. It involves transmitting sound waves into the water and analyzing the echoes to determine the presence and location of underwater objects. There are two types of SONAR — Active and Passive. Active sonars are commonly used in submarines, and some animals naturally have them. The acoustic sound signals are emitted from the source, and the reflected sound signal is then recorded after some time and the distance between the source and object is calculated. Passive sonar is one type of sonar in which the sound signals are not emitted from the source. It only receives signals from distant external objects. It is often used by military ships and vessels (for detecting submarines or ships) when undergoing any secret operation. It is used for defense purposes.
  4. Block Diagram pts(t) pss(t) noise SPL transmitting array 1 receiving array TRANSMITTER s(n) x(t) LOWPASS ADC FILTER x(n) MATCHED FILTER THRESHOLD decision
  5. Why DSP Processors in Sonar? e Sonar signals involves complex signal processing techniques for detection, filtering, and analysis. e DSP processors provide the computational power and flexibility needed to perform real-time processing on sonar signals.
  6. Key Applications of DSP Processors in Sonar 1. 2. 3. 4. 5. Siqnal Filterinq - DSP processors uses filtering techniques to remove noise, echoes, and interference from received sonar signals. Adaptive filtering algorithms can also be used to account for the varying underwater conditions. Beamforminq - Beamforming techniques focuses the sonar signal in one particular direction to improve detection and localization accuracy. Pulse Compression - Pulse compression is used to enhance the range and resolution of sonar systems. Compression algorithms, such as matched filtering or phase-coded waveforms, can be used to improve performance. Tarqet Detection and Classification - DSP processors analyze sonar echoes to detect and classify underwater objects. They employ pattern recognition, machine learning, and statistical algorithms to distinguish between different types of targets. Sonar Imaqinq - DSP processors play a crucial role in generating high-resolution sonar images. They process received signals and reconstruct underwater images using techniques like synthetic aperture sonar (SAS) or side-scan sonar.
  7. Reflected Sound Waves (Echo) 000
  8. Calculations ? ? ? ? ? ? ) ? ? ? ? x ?
  9. Pros and Cons of SONAR Technology 1. 2. 3. 4. 1. 2. 3. 4. The advantages of SONAR technology are — The communication speed of the SONAR system is very high. It is cost-effective. By using SONAR technology a long distance communication is possible underwater. About 80% of the Sea can be covered by the SONAR system. As attenuation is low, SONAR is much better than other forms of communication, and has high accuracy. The disadvantages of SONAR technology are — The waves emitted by SONAR interferes with the marine life. Hence, it threatens marine life. SONAR system generates lot of noise which depend on sound levels used. It's working range decreases with increasing in frequency. When a SONAR system emits a sound wave, reverberations of those waves are inevitable. If reverberations happen more frequently, they could cause interference with the original signal. As a result, the accuracy of the system could suffer.
  10. Conclusion DSP processors have revolutionized the field of sonar by providing advanced signal processing capabilities. Their application enables enhanced detection, localization, imaging, and classification of underwater objects.
  11. Thank You

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