Cross-correlation based fisheries stock assessment technique utilized array of multiple acoustic sensors which were equidistant pair. However, at practical implementation of this technique, equal distances among acoustic sensors is...
moreCross-correlation based fisheries stock assessment technique utilized array of multiple acoustic sensors which were equidistant pair. However, at practical implementation of this technique, equal distances among acoustic sensors is sometimes challenging due to different practical phenomenon. Therefore, in this study, we work on this issue and investigated the impact of unequal distances among the acoustic sensors. We found that cross-correlation based technique proved its effectiveness even for the unequal spacing among acoustic sensors. We considered chirp generating species of fish and mammals, i.e., damselfish (Dascyllus aruanus), humpback whales (Megaptera novaeangliae), dugongs (Dugong dugong), etc., species, and three acoustic sensors array for simulation purposes. Some limitations including negligence of multipath interference, assuming the delays to be integer were compromised during simulations. In worldwide, over 800 species of fish and mammals from 109 families are identified to be soniferous 1 , although this is likely to be an underestimate. Over 150 species of these are found in the northwest Atlantic 2. Amongst the soniferous fish and mammals, some of the most abundant and vital commercial species are codfish, drum fish, grunts, groupers, snappers, jacks, catfish 3 , hambuck wheals, dolphins, etc. Utilizing the sounds of fish and mammals is recognized as passive acoustics which has been used for over 50 years in fish biology and fisheries surveys 2. In fact, it is used routinely to delineate and monitor spawning areas, and study the behavior of fish and mammals 4,5. The researchers use hydrophone to listen this sound from fish and mammals to identify species 6,7 and estimate their population size 5. They use signal processing and spectral analysis computer algorithms to perform their tasks for this purpose 5,6. Generally, passive acoustic monitoring is a technique which is distinguished from other types of bioacoustics since it utilizes naturally occurring sounds to gather information on fish and mammals, rather than using artificially generated sounds. It offers a number of benefits to survey fishery population in a certain marine area including being a method of non-optically observing fish activity and distribution, being a non-invasive and non-destructive observational tool, providing the capability of continuous or long-term monitoring as well as remote monitoring, etc 6. In addition, investigators use passive acoustics to monitor the sources of noise pollution, and to study the impact of man's activities on marine communities 6. A straightforward, cross-correlation based population estimation technique was proposed in Refs. 8,9 , was a passive acoustic monitoring technique, can solve some major drawbacks of conventional fish population estimation techniques. Researchers investigated different practical impacts which were associated with this technique. Hossain and Hossen have investigated the impact of increasing number of acoustic sensors, i.e., increasing number of cross-correlation function (CCF) in Ref. 10. Hossain and Hossen also have shown the effect of underwater bandwidth and SNR on this technique in Ref. 11. Impact of dispersion coefficient on this technique was investigated in Ref. 12. Similarly, impact of different distribution on estimation was demonstrated in Ref. 13. Hossain and Hossen have investigated the procedure of calculating statistical error of this technique illustrated in Ref. 14. However, in the former researches, all the researchers have considered equal distance among the acoustic sensors. This is sometimes impossible in some practical cases because it is somewhat troublesome to put the sensors at the desired locations in the randomly distributed fish and mammals. So, the constraint of equal spacing among open sensors makes this technique difficult to implement practically, which is recognized as a limitation of this technique. With an aim to overcome this limitation, we started our investigation. In this paper, we have considered three acoustic sensors, where the sensors maintain unequal distances. Three acoustic sensors can be organized by two types of topologies, i.e., acoustic sensors in line (ASL) scheme and acoustic sensors in a triangle (AST) scheme 9. We have worked with both schemes to investigate the impact of unequal distances among the acoustic sensors. From diverse types of fish sounds, we have considered chirp sound and use its frequency for simulations. This type of sound is very common in damselfish (Dascyllus aruanus), humpback whales (Megaptera novaean-gliae), dugongs (Dugong dugon), etc., species. Firstly, we have worked to establish a theoretical impact and then we have verified the theory by simulation. In this research, MATLAB R2010a was used as our simulation tool.