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Location-based services and applications in wireless cellular networks continue to extend. The introduction of location information will open a variety of new features of services. Thus, developing an effective and inexpensive positioning technique is imperative. It is known that the location computation of the mobile station (MS) can be realized by using the hyperbolic positioning technique based on the stationary signal-strength- difference (SSSD) measurements. However, the location accuracy is limited because of the noisy and imperfection measurements, primarily caused by the signal interference and propagation effects. To enhance location accuracy, this paper discusses the least-square (LS) algorithm to correct the measurement error in the estimated distance differences. Collecting the results obtained from the field trial undertaken in a commercial wireless cellular 900 MHz network, the mean error of location computation can be reduced by an average of approximately 27 percentile, reaching the best (lowest) value 205 m.