Bonjour, ceci est un commentaire. Pour supprimer un commentaire, connectez-vous et affichez les commentaires de cet article. Vous pourrez alors…
Richter B. and Green A. (2004) Relevance of Dual Frequency Surveying System Tests for Real Time Field Performance, In: Proc of ION GNSS 2004, Long Beach, California, September 21-24, 2004.
- Listed: 19 May 2026 15 h 48 min
Description
Richter B. and Green A. (2004) Relevance of Dual Frequency Surveying System Tests for Real Time Field Performance, In: Proc of ION GNSS 2004, Long Beach, California, September 21-24, 2004.
**Richter B. and Green A. (2004) Relevance of Dual Frequency Surveying System Tests for Real Time Field Performance, In: Proc of ION GNSS 2004, Long Beach, California, September 21‑24, 2004.**
—
When it comes to high‑precision positioning—whether you’re laying out a new highway, monitoring a dam, or building a smart‑city infrastructure—**dual‑frequency GNSS surveying** has become the gold standard. Yet, the leap from laboratory specifications to reliable **real‑time field performance** is not always straightforward. In their seminal 2004 paper, *Richter* and *Green* tackled exactly this challenge, asking a question that still resonates with surveyors, geodesists, and GNSS engineers today: *Are the standard benchmark tests we run in the lab truly indicative of how a dual‑frequency system will behave on the job site?*
### From Zero‑Baseline Tests to Real‑World Accuracy
One of the most common laboratory procedures is the **zero‑baseline test**, where two receivers share the same antenna. The test measures the **phase noise**—the tiny variations in the carrier‑phase signal that can translate into centimeter‑level errors in the field. Richter and Green highlighted a critical nuance: the **standard deviation of zero‑baseline phase noise can vary by an order of magnitude** simply because different test setups use different effective measurement bandwidths. In other words, a receiver that looks “quiet” in one lab might appear noisy in another, leading to misleading conclusions about its suitability as an **RTK rover**.
### Designing Meaningful Test Set‑Ups
The authors proposed a series of **field‑relevant test configurations** that go beyond the traditional zero‑baseline approach:
| Test Type | What It Simulates | Key Metric |
|———–|——————-|————|
| **Static Baseline** | Long‑duration, open‑sky observations | Position repeatability (mm‑level) |
| **Dynamic Baseline** | Rover moving on a known track | Real‑time kinematic (RTK) convergence time |
| **Multipath‑Rich Environment** | Urban canyon or forested area | Carrier‑phase slip rate & code multipath |
| **Bandwidth‑Controlled Test** | Fixed measurement bandwidth across receivers | Direct comparison of intrinsic receiver noise |
By controlling variables such as **measurement bandwidth**, **antenna type**, and **environmental conditions**, these tests give a clearer picture of how a dual‑frequency system will perform when the stakes are high and the sky is less than perfect.
### Lessons Learned from Leica’s System 1200 Development
Richter and Green used these methodologies while developing **Leica’s System 1200**, a high‑performance GNSS surveying platform that set new benchmarks for **long‑baseline RTK** accuracy. The field tests revealed that:
1. **Receiver noise alone does not dictate field performance**—antenna phase center variations and environmental multipath often dominate.
2. **Inter‑channel bias** (the difference between L1 and L2 measurements) must be calibrated in situ, not just in the lab.
3. **Effective bandwidth selection** is a trade‑off: wider bandwidth reduces noise but can increase susceptibility to interference.
These insights helped Leica fine‑tune the System 1200’s firmware, resulting in sub‑centimeter **real‑time positioning** even under challenging conditions.
### Why This Matters for Today’s Surveyors
Fast‑forward to 2024, and the market is flooded with **low‑cost dual‑frequency receivers** (e.g., u‑blox ZED‑F9P, Emlid Reach RS2+). While price tags have dropped, the fundamental question raised by Richter and Green remains: *Will the advertised specs translate into reliable field results?* The answer lies in adopting the **field‑oriented testing framework** they championed:
– **Run zero‑baseline tests with a known bandwidth** to establish a baseline noise floor.
– **Validate with static and dynamic baselines** in the actual environment where the equipment will be used.
– **Monitor carrier‑phase slip rates** during real‑time kinematic sessions to catch hidden weaknesses.
### Bottom Line
The 2004 ION GNSS paper by Richter and Green is more than a historical reference; it is a practical guide for anyone who needs **real‑time GNSS accuracy** in the field. By moving beyond simple laboratory metrics and embracing comprehensive, scenario‑based testing, professionals can ensure that their **dual‑frequency surveying systems** deliver the centimeter‑level precision that modern infrastructure projects demand.
**Keywords:** dual‑frequency surveying, real‑time field performance, GNSS, RTK, zero‑baseline test, measurement bandwidth, receiver noise, Leica System 1200, surveying system tests, carrier‑phase noise, inter‑channel bias, low‑cost GNSS receivers.
122 total views, 1 today
Sponsored Links
G. S. Madden, J. Savage, and G. Coble-Neal, “Forecasting United States-Asia...
G. S. Madden, J. Savage, and G. Coble-Neal, “Forecasting United States-Asia international message telephone service,” International Journal of Forecasting, Vol. 18, pp. 523–543, 2002. None
No views yet
H. Thompson and G. Tiao, “Analysis of telephone data: A case study of forec...
H. Thompson and G. Tiao, “Analysis of telephone data: A case study of forecasting seasonal time series,” Bell Journal of Economics and Management Science, RAND […]
No views yet
K. M. McDonald–Johnson, C. H. Hood, and R. M. Feldpausch, “ Model simplific...
K. M. McDonald–Johnson, C. H. Hood, and R. M. Feldpausch, “ Model simplification after the automatic modeling procedure of X-12-ARIMA Version 0.3,” Proceedings of the […]
1 total views, 1 today
D. F. Findley and C. Hood, “X-12-ARIMA and its Application to Some Italian ...
D. F. Findley and C. Hood, “X-12-ARIMA and its Application to Some Italian Indicator Series,” unpublished, 2000. http://www.census.gov/ts/papers/x12istat.pdf. Here’s a thinking process: 1. **Analyze User […]
1 total views, 1 today
R. J. Hyndman, A. B. Koehler, J. K. Ord, and R. Snyder, “Forecasting with e...
R. J. Hyndman, A. B. Koehler, J. K. Ord, and R. Snyder, “Forecasting with exponential smoothing: The state space approach,” Springer–Verlag, Berlin, 2008. Here’s a […]
1 total views, 1 today
W. A. Gardner, “Statistical spectral analysis,” Prentice–Hall, Englewood Cl...
W. A. Gardner, “Statistical spectral analysis,” Prentice–Hall, Englewood Cliffs, 1988. **W. A. Gardner, “Statistical spectral analysis,” Prentice–Hall, Englewood Cliffs, 1988.** When you see a book […]
1 total views, 1 today
Estima, “RATS version 7 user guide,” Evanston, 2007.
Estima, “RATS version 7 user guide,” Evanston, 2007. None
1 total views, 1 today
Estima, “RATS version 7 reference manual,” Evanston, 2007.
Estima, “RATS version 7 reference manual,” Evanston, 2007. **Estima, “RATS version 7 reference manual,” Evanston, 2007** In the realm of data analysis, there exists a […]
No views yet
P. H. Frances, “Testing for seasonal unit roots in monthly data,” Econometr...
P. H. Frances, “Testing for seasonal unit roots in monthly data,” Econometric Institute Report 9032A, Erasmus University, Rotterdam, 1990. P. H. Frances, “Testing for seasonal […]
1 total views, 1 today
S. Hylleberg, R. F. Engle, C. W. J. Granger, and B. S. Yoo, “Seasonal integ...
S. Hylleberg, R. F. Engle, C. W. J. Granger, and B. S. Yoo, “Seasonal integration and cointegration,” Journal of Econometrics, Vol. 44, pp. 215–238, 1990. […]
1 total views, 1 today
G. S. Madden, J. Savage, and G. Coble-Neal, “Forecasting United States-Asia...
G. S. Madden, J. Savage, and G. Coble-Neal, “Forecasting United States-Asia international message telephone service,” International Journal of Forecasting, Vol. 18, pp. 523–543, 2002. None
No views yet
H. Thompson and G. Tiao, “Analysis of telephone data: A case study of forec...
H. Thompson and G. Tiao, “Analysis of telephone data: A case study of forecasting seasonal time series,” Bell Journal of Economics and Management Science, RAND […]
No views yet
K. M. McDonald–Johnson, C. H. Hood, and R. M. Feldpausch, “ Model simplific...
K. M. McDonald–Johnson, C. H. Hood, and R. M. Feldpausch, “ Model simplification after the automatic modeling procedure of X-12-ARIMA Version 0.3,” Proceedings of the […]
1 total views, 1 today
D. F. Findley and C. Hood, “X-12-ARIMA and its Application to Some Italian ...
D. F. Findley and C. Hood, “X-12-ARIMA and its Application to Some Italian Indicator Series,” unpublished, 2000. http://www.census.gov/ts/papers/x12istat.pdf. Here’s a thinking process: 1. **Analyze User […]
1 total views, 1 today
R. J. Hyndman, A. B. Koehler, J. K. Ord, and R. Snyder, “Forecasting with e...
R. J. Hyndman, A. B. Koehler, J. K. Ord, and R. Snyder, “Forecasting with exponential smoothing: The state space approach,” Springer–Verlag, Berlin, 2008. Here’s a […]
1 total views, 1 today
W. A. Gardner, “Statistical spectral analysis,” Prentice–Hall, Englewood Cl...
W. A. Gardner, “Statistical spectral analysis,” Prentice–Hall, Englewood Cliffs, 1988. **W. A. Gardner, “Statistical spectral analysis,” Prentice–Hall, Englewood Cliffs, 1988.** When you see a book […]
1 total views, 1 today
Estima, “RATS version 7 user guide,” Evanston, 2007.
Estima, “RATS version 7 user guide,” Evanston, 2007. None
1 total views, 1 today
Estima, “RATS version 7 reference manual,” Evanston, 2007.
Estima, “RATS version 7 reference manual,” Evanston, 2007. **Estima, “RATS version 7 reference manual,” Evanston, 2007** In the realm of data analysis, there exists a […]
No views yet
P. H. Frances, “Testing for seasonal unit roots in monthly data,” Econometr...
P. H. Frances, “Testing for seasonal unit roots in monthly data,” Econometric Institute Report 9032A, Erasmus University, Rotterdam, 1990. P. H. Frances, “Testing for seasonal […]
1 total views, 1 today
S. Hylleberg, R. F. Engle, C. W. J. Granger, and B. S. Yoo, “Seasonal integ...
S. Hylleberg, R. F. Engle, C. W. J. Granger, and B. S. Yoo, “Seasonal integration and cointegration,” Journal of Econometrics, Vol. 44, pp. 215–238, 1990. […]
1 total views, 1 today
Recent Comments