Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The location estimation of mobile telephones is of great current interest. The two sources of range measurement errors in geolocation techniques are measuring error and non-line-of-sight (NLOS) error. The NLOS errors, derived from the blocking of direct paths, have been considered as a killer issue in the location estimation.   develop an algorithm to mitigate the NLOS errors in location estimation when the range measurements corrupted by NLOS errors are not identifiable. This algorithm, referred to as the residual ighting algorithm (Rwgh), assumes that the number of range measurements is greater than the minimum number required. The Rwgh algorithm is compared with two other generic algorithms and tested under various scenarios and NLOS error models, which includes deterministic and random NLOS error models. In both cases, Rwgh has shown the effectiveness of NLOS error mitigation in location estimation.
['Pi-Chun Chen']
I am writing a research paper on a idea A non-line-of-sight error mitigation algorithm in location estimation
[{"from": "human", "value": "I am writing a research paper on a idea A non-line-of-sight error mitigation algorithm in location estimation"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The location estimation of mobile telephones is of great current interest. The two sources of range measurement errors in geolocation techniques are measuring error and non-line-of-sight (NLOS) error. The NLOS errors, derived from the blocking of direct paths, have been considered as a killer issue in the location estimation.   develop an algorithm to mitigate the NLOS errors in location estimation when the range measurements corrupted by NLOS errors are not identifiable. This algorithm, referred to as the residual ighting algorithm (Rwgh), assumes that the number of range measurements is greater than the minimum number required. The Rwgh algorithm is compared with two other generic algorithms and tested under various scenarios and NLOS error models, which includes deterministic and random NLOS error models. In both cases, Rwgh has shown the effectiveness of NLOS error mitigation in location estimation."}]