Our Approach

Quality collection and post-processing of data

Quality model calibration begins with accurate data collection. Experienced Newfield Wireless RF engineers collect CW data using calibrated receivers, range-tested antennas and consistent equipment configurations. Our quality assurance practices include documentation of all elements during data collection – from validation of power settings and interference measurements to antenna levelling and location verification. Comparison drives between collection teams ensure that errors within a single equipment setup are quickly caught and corrected. This results in highly accurate path-loss representation in every morphology and faster time to RF model creation.

Ensuring that all equipment is set up as specified and documented is a critical element in collection of valid drive test data.

Nationwide database of valid CW data

We may be able to speed up your calibration activities given our extensive database of CW data collected across the United States. Our Path Loss Database represents over 8,000 unique drive tests over the continental United States, Puerto Rico and District of Columbia that allows creation of propagation models from 700MHz to 2.5GHz. Our RF engineers collect data in the field with back-up documentation, photos and film footage, so we’re confident it will meet your requirements.

Unique Application for Model Tuning

As a company focussed on specific value-added services for wireless operators, Newfield Wireless has developed a unique internal application, TruePath^®, to improve path loss modeling accuracy, including measurement integration. TruePath, when used with accurate CW data, allows us to easily create accurate propagation models for wireless operators or their consultants. It excels in its ability to handle auto-morphology, error by distance and includes dynamic range compensation.

Using accurate data, our team begins the model calibration with no assumptions on morphology boundaries. Initial site selection estimates average 10 drives per morphology with all drives used in calibration and validation. Via thousands of iterations using a round-robin algorithm, TruePath determines morphology boundaries and creates the most accurate model for the area. It also generates extensive model calibration statistics as well as model error versus distance measured in 500-meter intervals.

Finally, our Dynamic Range Compensation (DRC) is a patented algorithm that corrects for the systematic impact of measuring signals near and below the receiver sensitivity limit, as one moves farther away from transmitting sources. Without DRC, calibrated models typically over propagate, especially at cell edges, causing inaccurate simulations and incorrect decisions during design and optimization