Line-of-sight (LOS) or non-LOS (NLOS) identification method using multipath channel statistics
Non-line-of-sight (NLOS) identification and mitigation are carried out in a wireless positioning system based on channel statistics derived from multipath components of a received signal. The statistics may be based on the kurtosis, the mean excess delay spread, or the root mean square delay spread. The results are justified using IEEE 802.15.4a ultrawideband channel models. Amplitude and delay statistics based on the IEEE models are shown to be log-normal random variables. A joint likelihood ratio test is presented for the LOS and NLOS identification.
1. A method for identifying line-of-sight (LOS) and non-line-of-sight (NLOS) conditions in a received ultra-wideband signal, comprising:
calculating a statistical quantity of the received signal based on delays and amplitudes of one or more multipath components of the received signal;
setting up a hypothesis test based on the probability density functions of the statistical quantity for the LOS and NLOS conditions; and
applying the calculated statistical quantity to the hypothesis test to determine whether the received signal is LOS or NLOS.
2. A method as in claim 1 , wherein the statistical quantity is a function of the kurtosis of the received signal.
3. A method as in claim 1 , wherein the statistical quantity is a function of the mean excess delay of the received signal.
4. A method as in claim 1 , wherein the statistical quantity is a function of the root-mean-square delay spread of the received signal.
5. A method as in claim 1 , wherein the probability density functions are each a log-normal probability density function.
6. A method as in claim 1 , wherein the statistical quantity is a joint function of two or more of the following parameters: the kurtosis, the mean excess delay, and the root-mean-square delay spread of the received signal.
7. A method as in claim 1 , wherein the probability density functions for the LOS and the NLOS conditions are the joint probability density functions of the parameters for the corresponding conditions.
8. A method as in claim 7 , wherein the joint probability density function is derived by assuming the included parameters are independent.
9. A method as in claim 1 , wherein the hypothesis test is based on a likelihood ratio.
10. A method as in claim 1 , wherein the statistical quantity is a function of a signal component of the received signal associated with the strongest path.
11. A method as in claim 1 , wherein the statistical quantity is a function of a signal component of the received signal associated with a path weaker than the strongest path.
12. A method for localizing a terminal position, based on the method for identifying LOS and NLOS conditions of claim 1 , comprising:
Identifying NLOS conditions in the received signal based on the method for identifying; and
minimizing the effects of the NLOS conditions by providing appropriate weights to identified NLOS components in the received signal.
13. A method as in claim 12 , wherein the appropriate weight to an identified NLOS component is zero.