Number |
Category |
Group |
Title |
202-5/3
|
(S2)
|
WP3J/WP3L |
Methods for predicting propagation over the surface of the Earth
|
212-3/3
|
(S3)
|
WP3L |
Ionospheric properties
|
213-4/3
|
(S3)
|
WP3L |
The short-term forecasting of operational parameters for trans-ionospheric radiocommunication and radionavigation services
|
214-6/3
|
(S2)
|
WP3L |
Radio noise
|
218-6/3
|
(S3)
|
WP3L |
Ionospheric influences on satellite systems
|
221-2/3
|
(S3)
|
WP3L |
Propagation by way of sporadic E and other ionization
Note - Suppressed on 28/07/15 (CACE/744)
|
222-5/3
|
(S3)
|
WP3L |
Measurements and data banks of ionospheric characteristics and radio noise
|
225-7/3
|
(S3)
|
WP3L |
The prediction of propagation factors affecting systems at LF and MF including the use of digital modulation techniques
|
226-5/3
|
(S3)
|
WP3L/WP3M |
Ionospheric and tropospheric characteristics along satellite-to-satellite paths
|
227-1/3
|
(S3)
|
WP3L |
HF channel simulation
Note - Suppressed on 17/02/12 (CACE/562)
|
229-3/3
|
(S3)
|
WP3L |
Prediction of sky-wave propagation conditions, signal intensity, circuit performance and reliability at frequencies between about 1.6 and 30 MHz, in particular for systems using digital modulation techniques
|
230-3/3
|
(S2)
|
WP3J/WP3L |
Prediction methods and models applicable to power line telecommunication systems
|
231-1/3
|
(S2)
|
WP3L |
The effect of electromagnetic emissions from man-made sources on the radiocommunication systems and networks
|
234/3
|
(S3)
|
WP3L |
Computation of ionospheric scintillation indices
|
236/3
|
(S2)
|
WP3J/WP3K/WP3L/WP3M |
Use of machine learning methods for radiowave propagation studies
|