Using Real-time Networks in the Northeast

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Using Real-time Networks in the Northeast New York State Association of Professional Land Surveyors January 20, 2016 Dan Martin Northeast Regional Geodetic Advisor Dan.martin@noaa.gov 240-676-4762

THE CHANGE FROM LABOR INTENSIVE TO TECHNOLOGY! “Human knowledge is doubling every 10 years. The scientific knowledge produced between 1987 and 1997 is greater than that produced in all mankind’s history”. Michio Kaku- renowned theoretical physicist THE CHANGE FROM LABOR INTENSIVE TO TECHNOLOGY!

Real Time Kinematic (RTK) Method of phase differential GNSS Solve for integer ambiguity on the fly Broadcast correctors/data UHF radio, or cellular connection via internet Requires a minimum of five SV Limited distance from base (10-20 km) Accuracy can be 1 cm…can also be a meter!

WHAT’S HAPPENING IN MY ROVER? ….SO YOU THOUGHT RT POSITIONING IS EASY? WHAT YOUR ROVER IS DOING FOR “A FEW SECONDS” -

HOW DOES RTK WORK? ∆ X,Y,Z FROM BASE (REMEMBER “GIGO”) MULTILATERATION - TIME (SEC.) · C (SPEED OF LIGHT) (M/SEC.)= DISTANCE from satellite MUST RESOLVE CARRIER CYCLE INTEGER COUNT AMBIGUITIES (# cycles · wave length + partial cycle = distance) MUST ACCOUNT FOR FACTORS AFFECTING THE PATH OF THE SIGNAL DUAL FREQUENCY ENABLES “ON THE FLY” RESOLUTION OF THE AMBIGUITIES & EASIER CYCLE SLIP DETECTION THAN L1 ONLY FREQUENCY COMBINATIONS AND DIFFERENCING CONTRIBUTE TO MITIGATING THE ERROR BUDGET

Integer Ambiguity Integer Ambiguity is the unknown number of full wavelengths from the reference satellite to the antenna phase center Must be solved for to achieve centimeter accuracy Receiver keeps track of the subsequent number of wavelengths and the partial fractional wavelength measurements (phase)

Dl = First Partial Wavelength THE INTEGER AMBIGUITY WGS 84 X,Y,Z Resolving the integer ambiguity allows phase measurements to be related to distances Nl Distance Dl = First Partial Wavelength Nl = Integer Ambiguity Dl Distance = Nl + Dl

THE CYCLE COUNT COOKBOOK- USING DIFFERENCING TO ELIMINATE OR REDUCE COMMON ERRORS IN THE RECEIVER AND SATELLITE RECEIVER HARDWARE DELAYS SATELLITE HARDWARE DELAYS RECEIVER CLOCK BIAS SATELLITE CLOCK BIAS ELIMINATED WITH DIFFERENCING IONO DELAY TROPO DELAY SAME AS BASE WITH SINGLE BASE INTERPOLATED WITH RTN MEASUREMENT NOISE (HIGHER GRADE RECEIVERS = LESS NOISE) MULTIPATH NOT ELIMINATED WITH DIFFERENCING

SINGLE DIFFERENCE OR Two satellites, one receiver same epoch, eliminates receiver clock error, receiver hardware error Two receivers, one satellite, same epoch. Eliminates satellite clock error, satellite hardware error

SINGLE DIFFERENCE

DOUBLE DIFFERENCE Double differencing: two receivers, two satellites, same epoch (two Single Differences). Eliminates receiver clock error, receiver hardware error, reduces other errors.

DOUBLE DIFFERENCE = difference between two single differences of two receivers and TWO satellites at the same epoch

TRIPLE DIFFERENCING Triple difference – difference of two double differences at two epochs for two satellites and two receivers. Detects cycle slips

TRIPLE DIFFERENCE Cancels Double Difference integer cycles

CYCLE SLIPS Cycle slip detection/correction of dual-frequency data is easier than for single frequency data. Cycle slip detection/correction of differenced data is easier than for one-way (undifferenced) phase data, because of the elimination of the clock biases. Cycle slip detection/correction of static data is easier than the case of kinematic data. Cycle slip detection/correction of short baseline data (<30km) is easier than for long baseline data. Cycle slip detection/correction of data in the post-mission mode is easier than for the case of real-time data processing. …In fact, it is the computational efficiency of the ambiguity search process rather than the performance that distinguishes the different ambiguity resolution techniques.

AFFECTS ON RT PROCESSING

IONO & TROPO LAYERS AND THEIR EFFECT ON THE GNSS SIGNAL- “DISPERSIVE” & “GEOMETRICAL” EFFECTS

IONOSPHERIC EFFECTS ON POSITIONING AVERAGE IONO- NO NETWORK HIGH IONO- NO NETWORK 2D PRECISION/ACCURACY (CM) SINGLE BASE RTK @ 10 KM (2000-2002) (1994-1995) NETWORK SOLUTION @ 30 KM WITH NETWORK DISTANCE TO REFERENCE STATION (KM) (SOURCE-BKG- GERMANY)

TROPOSPHERE DELAY Ionosphere troposphere 10 KM GREATER THAN 10 KM The more air molecules, the slower the signal (dry delay) High pressure, Low temperature 90% of total delay relatively constant and EASY TO CORRECT FOR The more water vapor in the atmosphere the slower the signal (wet delay) High humidity 10% of total delay Highly variable and HARD TO CORRECT FOR Ionosphere troposphere 10 KM GREATER THAN 10 KM

IONO, TROPO, ORBIT CONTRIBUTE TO PPM ERROR REMEMBER GNSS EQUIPMENT MANUFACTURERS’ SPECS!

RTK

Network RTK Image courtesy of Leica

Real Time Network (RTN) Attempts to remove the distance dependent errors associated with “traditional” RTK Manufacturers may use different approaches, but generally they are all effective. Can provide integrity measures for both base/network and rover.

VRS

VRS A raw data stream is sent from each reference station (low latency) to the network server Central Processing Center (CPC). All (or clusters of) reference stations may be used. The network data is used to compute models of ionospheric, tropospheric, and orbital errors (live high-precision orbit data may be introduced, like Ultra-Rapid Orbit).

The rover sends its generalized location to the network server to “request” corrections for its vicinity. The actual errors on the baselines are derived in centimeter level accuracy using fixed carrier-phase observations. Linear or more sophisticated error models are used to predict the errors at the rover location. A non-physical (virtual) reference location is derived as an origin for the high confidence modeled values at or near the rovers vicinity.

The observed positions (or vectors) are referenced to a physical station while utilizing the improved corrections from the non-physical station. The models are updated constantly, and as conditions may change, or if the rover moves far enough from the non-physical location, and new non-physical location can be initiated automatically and without delay to the rover The rover receives only standard formats (RTCM).

Individual Master Auxiliary (i-MAX) Image courtesy of Leica

Master Auxiliary (MAX) Image courtesy of Leica

MAX Reference stations continually transmit raw data (low latency) to the network servers. Network estimation process to reduce stations to a common ambiguity level. Either a pre-defined cluster or cell of stations (e.g., as few as 3, or as many as, say, 30) is accessed, or optionally the rover sends its position, and a set of stations is selected based on proximity to that location. Derivation of RTCM 3.1 Network Messages for the master station, and offset messages for each auxiliary station are broadcast or transmitted to

Derivation of RTCM 3.1 Network Messages for the master station, and offset messages for each auxiliary station are broadcast or transmitted to the rover. Rover (client-side processing) computes the high precision rover position.

Different Networks NYSNET (NY)– Leica Network VECTOR (VT) – Trimble Network ME -Trimble Single Base (network soon) MA – Leica Network CT – Trimble Network KeyNet – Trimble SmartNet – Leica TopNet – Topcon Boyd Instrument (Topcon)

Real Time Networks

SmartNet (Leica)

KeyNet GPS (Keystone Precision)

TopNet (Topcon)

Boyd Instrument

Equipment Needed Conventional RTK Network RTK or RTN Base Radio Antenna Batteries Repeater??? w/antenna and batteries Rover Rover Cellular data or wifi connection Data plan for cellular

Easy alignment to the NSRS RTK vs. RTN Cell technology -Half the equipment or double the production -No monument reconnaissance/ recovery - No set/break down time -No base baby sitting RTN Plus: Easy alignment to the NSRS No ppm (1ST ORDER) ERROR Extended range Homogeneous Data Easy datum updates RTK