Overview
The text discusses various aspects related to passive sonar, including the detection of targets amidst ambient noise and transmission loss, sonar performance modeling, receiver operating characteristics (ROC), transmission loss, effective detection, shipping radiated noise and ambient noise mapping, and SNR map development. It highlights the importance of considering detection probability and its trade-off with detection range, and the use of mathematical models and complex equations to analyze and solve real-world problems in passive sonar.
The text describes the Receiver Operating Characteristics (ROC) which are used for the assessment of sonar detector. It also mentions several existing models and approaches used to study and map ambient noise, transmission loss, and SNR, and how they can contribute to the efficient deployment of sonar equipment.
Key highlights
- Relevance in Indian Ocean Region (IOR): The models and the technique used above have been developed mainly in the polar ocean regions whose conditions and the input parameters involved in calculations vary significantly as compared to tropical littoral regions
- Accuracy and efficiency of mathematical models: The parameters required for the Wittekind model do not rely completely on AIS data and hence requires some knowledge on the naval architecture.
Major Opportunities
- Evaluate acoustic habitat degradation by creating noise maps and studying the biological noise of underwater mammals.
- Establish a policy framework and regulations for URN management to reduce shipping industry impact on marine life, including the development of quieting technologies.
- Calculate detection range as a function of detection probability to gain tactical advantage, and develop a combat management system for ASW and torpedo defence in military sonar applications.
“The Receiver Operating Characteristics (ROC) is used for the assessment of sonar detector. They often describe the relationship among the probability of detection (Pd), the probability of false alarm (Pfa) with the signal-to noise ratio (SNR) as a parameter.”
