![]() ![]() Just with 2 years in the business, he's made Ascend Ecom a company comprised of 300+ clients, two warehouses in Dallas, 100's of employees, and millions of monthly revenue. While invested in the e-commerce industry he found that most of the companies out there at that time were not set up for a long term success and saw a gap in the industry of a model that was there which could've been executed better, along with his partner knew they could improve this model, leading them to create Ascend Ecom, an e-commerce automation agency and investment management company, the only company in the industry capable of mixing up logistics, wholesale distribution, and e-commerce growth all into one. He found his passion as an entrepreneur in the passive income world. ![]() After an initial career in health tech, Will went on to work for tech startups building out sales strategy and marketing teams. Then, we use this error to com-pensate for the bias introduced by the model mismatch with the aim of improving the estimates.Born in New York and graduated from Arizona State University. The bandwidth over which this approximation is rea-sonably accurate depends on the reference frequency and the quality factor of the medium. These variations reveal a systematic error which is quantified by means of a first-order approximation and is found to be the ratio of the phase delay to the group delay. At first, we carry out a sensitivity study by determining the variations of the relative root mean square error of the time delay estimates as a function of the SNR, Q and the product Bτ for three algo-rithms, namely, root-MUSIC, ESPRIT and the matrix pencil method (MPM). Hence, the adopted model deviates from the damped expo-nential model and it is this mismatch that is likely to deterio-rate the performance of the employed techniques. The signal model is based on a complex power law of frequency for dielectric permittivity which describes wave propagation using two parameters, the quality factor Q and the phase velocity at an arbitrary. In this paper, we investigate the effects of frequency-dependent attenuation on the performance of some time de-lay estimation techniques applied to ground penetrating radar (GPR) data. It is also shown that the radar transmitted power can be significantly reduced with the help from the CBS which plays a role of the bistatic radar receiver. Several numerical results are provided to verify the superiority of the proposed radar waveform design algorithm in terms of the LPI performance of the radar system. The resulting optimisation problem is solved by the approach of linear programming. The expression for Cramér–Rao lower bound is analytically derived and utilised as a performance metric for target time delay estimation performance. optimisation technique to design the transmitted waveform of a radar system for specified target time delay estimation accuracy in order to achieve enhanced LPI performance. ![]() ![]() The basis of the LPI‐based radar waveform design strategy is to utilise the. In this study, a low probability of intercept (LPI)‐based orthogonal frequency division multiplexing radar waveform design strategy is developed for target time delay estimation in a cooperative radar‐communications system, where the communications base station (CBS) is able to receive and process the radar emissions. ![]()
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