Could you please provide solution with Julia code not Matlab for the below data?

% data for ee263 problem on an E-911 system c = 0.3; % speed of light in ms S = [ -20000 1000 -3000 4000 -3500 1000 4000 -4000 6000; 5000 3500 -4000 1000 2000 6000 -3000 -1500 -1000]; % location of base stations (in m) t = [ 79445; 20009; 21622; 13683; 24709; 28223; 11293; 22990; 16446]'; % arrival times of signal at base stations (in ns)

7.2E-911. The federal government has mandated that cellular network operators must have the ability to locate a cell phone from which an emergency call is made. This problem concerns a simplified version of an E-911 system that uses time of arrival information at a number of base stations to estimate the cell phone location. A cell phone at location xR2 (we assume that the elevation is zero for simplicity) transmits an emergency signal at time . This signal is received at n base stations, located at locations s1,,snR2. Each base station can measure the time of arrival of the emergency signal, within a few tens of nanoseconds. (This is possible because the base stations are synchronized using the Global Positioning System.) The measured times of arrival are ti=c1six++vi,i=1,,n, where c is the speed of light, and vi is the noise or error in the measured time of arrival. You can assume that vi is on the order of a few tens of nanseconds. The problem is to estimate the cell phone 54 position xR2, as well as the time of transmission , based on the time of arrival measurements t1,,tn. The mfile e911_data.m, available on the course web site, defines the data for this problem. Specifically, it defines a 29 matrix S, whose columns give the positions of the 9 basestations, a 19 vector t that contains the measured times of arrival, and the constant c, which is the speed of light. Distances are given in meters, times in nanoseconds, and the speed of light in metersanosecond. You can assume that the position x is somewhere in the box x13000,x23000 and that 5000 (although all that really matters are the time differences). Your solution must contain the following: - An explanation of your approach to solving this problem, including how you will check that your estimate is reasonable. - The matlab source code you use to solve the problem, and check the results. - The numerical results obtained by your method, including the results of any verification you do