nRF Cloud P-GPS
The nRF Cloud P-GPS library enables applications to request and process Predicted GPS (P-GPS) data from nRF Cloud to be used with the nRF91 Series SiP. This library is an enhancement to the nRF Cloud library. It can be used with or without Assisted GNSS (A-GNSS) data from nRF Cloud.
Overview
To get a position fix, a Global Navigation Satellite System (GNSS) module needs information such as the satellite orbital data broadcasted by the satellites.
Predicted GPS (P-GPS) is a form of assistance that reduces the Time to First Fix (TTFF), the time needed by a GNSS module to estimate its position. It is provided through nRF Cloud services. In P-GPS, nRF Cloud provides data containing information about the estimated orbits (Ephemerides) of the 32 GPS satellites for up to two weeks. Each set of ephemerides predictions is valid for a specific four-hour period within the set of all provided predictions. A device using P-GPS downloads the ephemeris predictions from the cloud, stores them in its flash memory, and later injects them into the GNSS module when needed.
P-GPS is designed for devices that are frequently disconnected from the cloud but need periodic GNSS fixes as quickly as possible to save power. This is possible because a device does not need to download ephemerides from the satellite broadcast. However, P-GPS should not be used for general use cases that already work with Assisted GNSS (A-GNSS) only.
Note
When using two-week ephemeris prediction sets, the TTFF towards the end of the second week increases due to the accumulated errors in the predictions and the decreases in the number of satellite ephemerides in the later prediction periods.
P-GPS requires a cloud connection approximately once a week to download new predictions, depending on the configuration settings. With A-GNSS, new ephemerides are needed on average every two hours, or if the fix interval is longer, whenever GNSS is started.
Note
To use the nRF Cloud P-GPS service, you need an nRF Cloud account, and the device needs to be associated with the account.
Configuration
Configure the CONFIG_NRF_CLOUD_PGPS
Kconfig option to enable or disable the use of this library.
Configure one of the following options to control the network transport for P-GPS requests and responses:
Configure one of the following options to control the network transport for downloading P-GPS predictions:
Configure these additional options to refine the behavior of P-GPS:
Configure the CONFIG_NRF_CLOUD_AGNSS
option if you need your application to also use A-GNSS, for time and coarse position data and to get the fastest TTFF.
Using A-GNSS also improves the accuracy because of ionospheric corrections.
Note
Disable this option if you do not want to use A-GNSS (due to data costs or expected frequent loss of cloud connectivity).
You must also configure the following options for storing settings, for having accurate clock time, and for having a location to store predictions:
The P-GPS library requires a storage location in the flash memory for storing the P-GPS prediction data. There are three ways to define this storage location:
To use a dedicated partition, enable the
CONFIG_NRF_CLOUD_PGPS_STORAGE_PARTITION
option.By default, this partition is stored in the main SoC flash. This partition can optionally be located in external flash for the nRF9160 development kit version 0.14.0 and later. This conserves space in the main flash for storing code or other data.
To use an external flash partition, enable the following options in your project’s configuration file or place them in a configuration overlay file (for example
samples/cellular/nrf_cloud_mqtt_multi_service/overlay_pgps_ext_flash.conf
):CONFIG_SPI_NOR_FLASH_LAYOUT_PAGE_SIZE
set to 4096
Finally, add the following to a device tree overlay for your board.
/ { chosen { nordic,pm-ext-flash = &mx25r64; }; }; /* Enable high drive mode for the SPI3 pins to get a square signal at 8 MHz */ &spi3_default { group1 { nordic,drive-mode = <NRF_DRIVE_H0H1>; }; };
This is typically placed in a file within your application’s source folder in a
boards
subfolder. See an example provided in the filesamples/cellular/nrf_cloud_mqtt_multi_service/boards/nrf9160dk_nrf9160_ns_0_14_0.overlay
.To use the MCUboot secondary partition as storage, enable the
CONFIG_NRF_CLOUD_PGPS_STORAGE_MCUBOOT_SECONDARY
option.Use this option if the flash memory for your application is too full to use a dedicated partition, and the application uses MCUboot for FOTA updates but not for MCUboot itself.
Do not use this option if you are using MCUboot as a second-stage upgradable bootloader and also have FOTA updates enabled for MCUboot itself, not just the application (using
CONFIG_SECURE_BOOT
andCONFIG_BUILD_S1_VARIANT
). Otherwise, the P-GPS library prevents the full completion of MCUboot update, and the first-stage immutable bootloader reverts MCUboot to its previous image.To use an application-specific storage, enable the
CONFIG_NRF_CLOUD_PGPS_STORAGE_CUSTOM
option.You must also pass the address and the size of your custom location in the flash memory to the
nrf_cloud_pgps_init()
function.Note
The address must be aligned to a flash page boundary, and the size must be equal to or greater than 2048 bytes times the
CONFIG_NRF_CLOUD_PGPS_NUM_PREDICTIONS
option.Use this option if you do not use MCUboot and you want complete control over the storing location of P-GPS data in the flash memory.
See Configuring and building for information on how to change configuration options.
Usage
A device can use P-GPS together with A-GNSS. This provides the following advantages:
It shortens TTFF compared to using only P-GPS.
A-GNSS provides ionospheric correction data, which improves accuracy.
In particular, A-GNSS is beneficial when the device is powered on. Getting GPS system time and coarse location using A-GNSS can significantly shorten the time needed for the first fix. As long as the modem remains powered on, GNSS “knows” the previous location and the current time with sufficient accuracy.
To improve accuracy, ionospheric correction data can also be downloaded periodically using A-GNSS. If used, the ionospheric correction data should be updated at least every 24 hours.
There should be no need to download almanacs with A-GNSS, because it is assumed that the device has valid ephemerides (predictions) for all satellites available at all times. Because ephemerides and almanacs do not need to be downloaded with A-GNSS, the amount of data is very small, less than 200 bytes.
Initialization
Ideally, once the device has connected to the cloud, the application must call the P-GPS initialization function.
If a connection is not available, initialization must still be called.
If the CONFIG_NRF_CLOUD_PGPS_REQUEST_UPON_INIT
option is disabled, the initialization function does not automatically download missing P-GPS data.
In these cases, predictions might be unavailable until a connection is established to the cloud.
Note
Each prediction requires 2 kB of flash. For prediction period of 240 minutes (four hours), and with 42 predictions in a week, the flash requirement adds up to 84 kB.
The P-GPS subsystem’s nrf_cloud_pgps_init()
function takes a pointer to a nrf_cloud_pgps_init_param
structure.
If the CONFIG_NRF_CLOUD_PGPS_STORAGE_CUSTOM
option is enabled, the structure must specify the storage base address and the storage size in the flash memory where the P-GPS subsystem stores predictions.
It can optionally pass a pointer to a pgps_event_handler_t()
callback function.
Note
The storage base address must be aligned to the flash memory page boundary.
Time
The proper operation of the P-GPS subsystem depends on an accurate sense of time. For use cases where a cloud connection can be established easily, use the Date-Time library with NTP enabled. Otherwise, use a battery-backed real-time clock calendar chip so that accurate time is available regardless of cloud availability after reset.
Transport mechanisms
Complete these three steps to request and store P-GPS data in the device:
Send the request to nRF Cloud.
Receive a URL from nRF Cloud pointing to the prediction set.
Download the predictions from the URL.
The first two steps use the network transport defined by the CONFIG_NRF_CLOUD_PGPS_TRANSPORT
option.
The default configuration selects the CONFIG_NRF_CLOUD_PGPS_TRANSPORT_MQTT
option if the CONFIG_NRF_CLOUD_MQTT
option is active.
MQTT use is built into the P-GPS library.
The library uses REST, CoAP, or other transports by means of the CONFIG_NRF_CLOUD_PGPS_TRANSPORT_NONE
option.
REST support is not built into the P-GPS library and must be provided by the application, whereas CoAP support is built into the nRF Cloud CoAP nRF Cloud CoAP library.
The Cellular: GNSS sample is one example of using REST.
The third step uses the network transport defined by the CONFIG_NRF_CLOUD_PGPS_DOWNLOAD_TRANSPORT
option.
The P-GPS library uses the CONFIG_NRF_CLOUD_PGPS_DOWNLOAD_TRANSPORT_HTTP
option when using MQTT for the main transport.
Applications that use REST for the main transport usually use the HTTP option for the download transport.
This download transport is built into the P-GPS library.
Alternatively, use the CONFIG_NRF_CLOUD_PGPS_DOWNLOAD_TRANSPORT_CUSTOM
with CONFIG_NRF_CLOUD_PGPS_TRANSPORT_NONE
to manage the full flow of data outside of the P-GPS library.
Call the following functions when using this configuration:
Requesting and processing P-GPS data
The library offers two different ways to control the timing of P-GPS cloud requests:
Direct
If
CONFIG_NRF_CLOUD_PGPS_TRANSPORT_MQTT
is enabled:Call the function
nrf_cloud_pgps_request_all()
to request a full set of predictions.Alternatively, pass a properly initialized
gps_pgps_request
structure to thenrf_cloud_pgps_request()
function.
If
CONFIG_NRF_CLOUD_PGPS_TRANSPORT_NONE
andCONFIG_NRF_CLOUD_REST
are enabled:Pass a properly initialized
nrf_cloud_rest_pgps_request
structure to thenrf_cloud_rest_pgps_data_get()
function.Pass the response to the
nrf_cloud_pgps_process()
function.If either call fails, call the
nrf_cloud_pgps_request_reset()
function.
If
CONFIG_NRF_CLOUD_PGPS_TRANSPORT_NONE
andCONFIG_NRF_CLOUD_COAP
are enabled:Pass a properly initialized
nrf_cloud_rest_pgps_request
structure to thenrf_cloud_coap_pgps_url_get()
function.Pass the response to the
nrf_cloud_pgps_update()
function.If either call fails, call the
nrf_cloud_pgps_request_reset()
function.
Indirect
The indirect methods are used in the Asset Tracker v2 and the Serial LTE modem applications. They are simpler to use than the direct methods. The direct method is used in the Cellular: GNSS sample.
When nRF Cloud responds with the requested P-GPS data, the library sends the CLOUD_EVT_DATA_RECEIVED
event.
The application’s cloud_evt_handler_t()
function receives this event.
The handler calls the nrf_cloud_pgps_process()
function that parses the data and stores it.
Finding a prediction and injecting to modem
A P-GPS prediction for the current date and time can be retrieved using one of the following methods:
Directly, by calling the function
nrf_cloud_pgps_find_prediction()
Indirectly, by calling the function
nrf_cloud_pgps_notify_prediction()
The indirect method is used in the Cellular: GNSS sample and in the Asset Tracker v2 and Serial LTE modem applications.
The application can inject the data contained in the prediction to the GNSS module in the modem by calling the nrf_cloud_pgps_inject()
function.
This must be done when event NRF_MODEM_GNSS_EVT_AGNSS_REQ
is received from the GNSS interface.
After injecting the prediction, call the nrf_cloud_pgps_preemptive_updates()
function to update the prediction set as needed.
A prediction is also automatically injected to the modem every four hours whenever the current prediction expires and the next one begins (if the next one is available in flash).
Interaction with the GNSS interface
The P-GPS subsystem, like several other nRF Cloud subsystems, is event driven.
Following are the two GNSS events relating to P-GPS that an application receives through the GNSS interface:
NRF_MODEM_GNSS_EVT_AGNSS_REQ
- Occurs when the GNSS module requires assistance data.NRF_MODEM_GNSS_EVT_FIX
- Occurs once a fix is attained.
When the application receives the NRF_MODEM_GNSS_EVT_AGNSS_REQ
event, it must call the nrf_cloud_pgps_notify_prediction()
function.
This event results in the callback of the application’s pgps_event_handler_t()
function when a valid P-GPS prediction set is available.
It passes the PGPS_EVT_AVAILABLE
event and a pointer to the nrf_cloud_pgps_prediction
structure to the handler.
The application must pass this prediction to the nrf_cloud_pgps_inject()
function, along with either the nrf_modem_gnss_agnss_data_frame
structure read from the GNSS interface after the NRF_MODEM_GNSS_EVT_AGNSS_REQ
event or NULL.
If the device does not move distances longer than a few dozen kilometers before it gets a new GNSS fix, it can pass the latitude and longitude read after the NRF_MODEM_GNSS_EVT_FIX
event to the nrf_cloud_pgps_set_location()
function.
The P-GPS subsystem uses this stored location for the next GNSS request for position assistance when A-GNSS assistance is not enabled or is unavailable.
If the device moves further between fix attempts, such a mechanism can be detrimental to short TTFF, as the saved position might be too inaccurate to be useful.
The application can also call the nrf_cloud_pgps_preemptive_updates()
function to discard expired predictions and replace them with newer ones, before the expiration of the entire set of predictions.
This can be useful in use cases where cloud connections are available infrequently.
The CONFIG_NRF_CLOUD_PGPS_REPLACEMENT_THRESHOLD
option sets the minimum number of valid predictions remaining before such an update occurs.
For best performance, applications can call the P-GPS functions mentioned in this section from workqueue handlers rather than directly from various callback functions.
The P-GPS subsystem itself generates events that can be passed to a registered callback function.
See nrf_cloud_pgps_event_type
.
Dependencies
This library uses the following nRF Connect SDK libraries:
It uses the following sdk-nrfxlib library:
It uses the following Zephyr subsystem:
API documentation
include/net/nrf_cloud_pgps.h
subsys/net/lib/nrf_cloud/src/