Bionic Cuac Scheme Summary.docx

Bionic CUAC Scheme:

The prospect of this concept in the model to communicate between divers or divers and UUV’s. However, the diverse is close to the target, and the guidance is still on the way, the divers are more to detect if the goal has several detector sonars. This idea makes the enemy wrong in that the driver’s action as the communication signal extract and the sound like the cetacean call. In this portion, the two parts are, first is the Algorithm simulation and realization and the second one is the software design workflow.

Algorithm Simulation and Realization: In this Modulation process, the data from the serial port encode first, and every six bits are changes into decimal digits. Delay differences modulated in the center of the two signals under the calculation. After combining all the clicks and time delay, the synchronization head and the shielding interval added to the header. 𝜏𝑑𝑖 (𝑖 = 1,2,3, … , 𝐿) is the coding range, which tells the time delay difference between two click signals. Single click signal time duration denoted by 𝑇𝑐𝑗 = 0,1,2, … , 𝑇). For each n bit value, divided by (2𝑛 − 1) Spaces, the time gape between each n bit part will be ∆𝜏 that we set to 1ms. Time delay can be measure by: 𝜏𝑑 = ∆𝜏. 𝑘, 𝑘 = 0,1, … , 2𝑛 − 1 K is the decimal information conveyed by Grey code from a binary information source. The communication data rate can calculate as: 𝐿

𝑣 = 𝐿 ∗ 𝑛/ ∑(𝑇𝑑 + 𝜏𝑑𝑗 ) 𝑙=1

The length of the signal in the first correlation operation will 𝑙1 + 𝑙𝑡 𝑚𝑎𝑥 . The starting range will find out by correlation peak of the last iteration. The signal range of i-th correlation operation is 𝑙𝑖 + 𝑙𝑡 𝑚𝑎𝑥 . Like this, the whole signal by L+1 clicks. We can obtain transmitted data after change it decimal data into binary data. After, this process will upload the data in the system to the other computer to showed through the serial port. After the simulation, we found the bit error rate (BER) cure under the white Gaussian noise. We used the real lake channel to test the participation of the algorithm, and then merge the signal through the real-time reversal mirror. In the end, the simulation result shows that the ERB is less than 10−5, When the SNR ration is more efficient than -5db with white Gaussian ratio. Further explained that the Doppler’s effect has limited effect on algorithm when the similar speed between the transmitter and receiver is

less than 0.5 m/s (assume the underwater acoustic velocity is 1500 m/s). We can solve the problem of the ERB by coding such as Low-Density Parity check (LPDC) code. Software Workflow: This system initializing by giving the power to the modem, including system PSC, interrupt EDMA, IIC, AIC3106, serial port initialization, and so forth. We need more steps to complete the algorithm implementation. The work on DSP modem, the whale clicks converted it into sixteen bits of vector data. This data store in SD card for the modulation and demodulation process in advance. This realization communication between the modem and the host computer. In first findings, the selection of dolphins calls from the SD cards and the second one command is to find out the modem is working in sending or receiving mode. If this is our receiving process, we find the FFT process here on the frame synchronization signal. It is usually used in fast correlation operation to detect the synchronization signal to decrease the calculating time. After completing these steps, the system had initialized. After the initialization, the method of the working in temporarily state, waiting for the transmission and the following instruction. If the system sends information, it continues receiving the data from the serial port. If the system is receiving the data acquisition from the serial port, it begins to collect the data and carries on the fast correlation operation. Later determine the signal by seeking the correlation peak, the system demodulated and the result sent through the serial port to the host computer.