Explore the impact of acoustic signal in shallow water channel with normal kernel density estimator

For reliable communication in shallow water, knowledge about the channel must be available at the receiver. In practice, behaviour of channel is unpredictable due to the time varying nature of underwater environment. The acoustic signals, 1 kHz and 1.5 kHz with various input strengths is transmitted to different transmission ranges in underwater test bed. Non-uniform oscillatory motion of the acoustic signal and its impact identified by normal kernel density estimator (NKDE) or parzen window density estimator is presented in this paper. The channel estimates are analyzed using bandwidth parameter, h arrived from estimator. The low value of h for less input signal strengths notifies coarse presentation of channel estimates. It exhibits more prevalence of compression in the oscillatory motion of communicated signal through the underwater channel. With the information of channel estimate distribution, the low frequency signal as well as the input signal strength which is better received is determined. Our measurement results show, that the high attenuation noticed for high input signal strength. This intuition can improve the underwater system performance for mobile platforms when operated at lower voltages.