The Chi-square ($\chi^2$) test is applied in least squares adjustment primarily to assess the overall quality of the observational data and the validity of the adjustment model. It serves as a crucial statistical check.
Purpose of the Test:The most common and critical application is to detect the potential presence of gross errors (outliers or blunders) within the initial set of observations. If the test indicates a poor fit (i.e., the calculated $\chi^2$ value exceeds the critical value), it suggests that the observations likely contain systematic mistakes or significant outliers, rather than just random errors.
Therefore, the Chi-square test helps validate the reliability of the input data before or after the adjustment process.
The correct option is B, which identifies the detection of gross errors in observations as the primary use of the Chi-square test in this context.
The carrier phase observation model in GNSS is given as $$ \phi_A^i = f \delta^i - \frac{\rho_A^i}{\lambda} - f \delta_A + N_A^i - f \delta_{\text{iono}} + f \delta_{\text{tropo}} + \epsilon $$ where $\phi_A^i$ is the observed carrier phase in cycles, $f$ is the frequency of the carrier in hertz, and $\lambda$ is the wavelength of the carrier in meters.
What is the unit of the ionospheric ($\delta_{\text{iono}}$) and tropospheric ($\delta_{\text{tropo}}$) delay terms in the given equation?