- Z-Sat VHF transmissions
Z-Sat is a microsatellite by Mitsubishi Heavy Industries that was launched in 2021. It is a demonstrator for multi-wavelength infrared Earth observation technologies. It carries an amateur radio payload that was coordinated by IARU and which consists of a BBS (bulletin board system) with a 145.875 MHz downlink and 435.480 MHz uplink. I have not been able to find more information about the amateur radio payload on this satellite.
Recently, Daniel Ekman SA2KNG asked me to analyze some transmissions by this satellite. Apparently it has recently begun to transmit a digital modulation, as shown in this SatNOGS observation, while it typically had transmitted CW telemetry in the past. The point where this started appears to be on 2025-06-20, as there is a SatNOGS observation of CW telemetry on that day followed by an observation of the digital modulation. In this post I analyze this digital modulation and explain what it is.
- 5G NR PDSCH
In my previous post in the 5G NR RAN series, I showed how to decode the PDCCH (physical downlink control channel), which is used to send control information from the gNB (base station) to the UEs (cellphones). In this series I am using as an example a short recording of the downlink of an srsRAN gNB. The PDCCH transmission that I decoded in the previous post was a DCI (downlink control information) containing the scheduling of the SIB1 PDSCH transmission. The PDSCH is the physical downlink shared channel, which is the channel where the gNB transmits data. The SIB1 is the system information block 1. It contains basic information about the cell, and it is decoded by the UE after decoding the MIB in the PBCH, as part of the cell attach procedure. In this post I will show how to decode this PDSCH SIB1 transmission.
- 5G NR PDCCH
This is a new post in my series about the 5G NR RAN. As in previous posts, I am analyzing a short recording of the downlink of an srsRAN gNB. There are no UEs connected to the cell during this recording, so there isn’t much interesting traffic, but the recording contains all the essential 5G signalling. In particular, there is a SIB1 transmission in the PDSCH, with its corresponding transmission in the PDCCH.
The PDCCH (physical downlink control channel) is used to transmit control information to the UEs in the form of DCI messages (downlink control information). The most common types of DCIs are those that specify the scheduling parameters of transmissions in the PDSCH (physical downlink shared channel), and the uplink grants for UEs in the PUSCH (physical uplink shared channel). The role that the 5G PDCCH plays is very similar to the role that it plays in LTE, so my post about the LTE PDCCH can be good for more context. However, in 5G the channel coding and physical layer of the PDCCH is substantially different from LTE.
- Time-dependent delay in GNU Radio
Since some years ago, a Doppler correction block has been available in gr-satellites. This block uses a text file that defines a time series of frequency versus time, and applies the appropriate frequency shift to each sample by linearly interpolating the frequency corresponding to the time of that particular sample. It can be used both to correct Doppler in a satellite propagation channel and other similar channels, as well as to simulate Doppler.
For some time I have been wanting to implement a similar block that applies a time-dependent delay to a complex baseband signal. The delay versus time would be defined by a text file in the same way as for the Doppler correction block. With this block, the delay of a satellite propagation channel can be simulated. It can also be used to correct the delay-rate of a satellite channel, which causes waveforms to be expanded or compressed in time due to a changing time-of-flight. This effect is known as code Doppler in GNSS, and as symbol frequency offset in general digital communications.
For accurate simulation of a satellite propagation channel, both the Doppler block and the delay block are needed, since the Doppler block accounts for the effects of variable time-of-flight on the RF carrier, and the delay block accounts for the effects on the band-limited modulation of the signal, by delaying its complex baseband representation.
I have now added a Time-dependent Delay block to gr-satellites. In this post I give a few details about its implementation and usage.
- Analysis of the CAMRAS Venus radar experiment
On March 22, CAMRAS performed a Venus radar experiment (or Earth-Venus-Earth bounce, as it is more commonly known in Amateur radio) in collaboration with Astropeiler Stockert, the Deep Space Exploration Society, and the Open Research Institute. The experiment was done in L-band, at 1299.5 MHz, using the 25 m Dwingeloo radiotelescope as transmitter and receiver and the Stockert 25 m telescope as a receiver. The experiment was done during the Venus conjunction, as this minimizes the distance between the Earth and Venus. The round-trip time to Venus was approximately 280 seconds. The radar waveform was a CW carrier with a duration of 278 seconds. It was transmitted a total of 4 times every 600 seconds. Thus each period was composed by:
- 278 second transmission
- ~2 second TX/RX guard time
- 278 second echo reception
- ~42 second wait
More transmissions were planned, including some spread-spectrum signals designed by the Open Research Institute. However, the transmitter started failing and they had to stop.
Update 2025-04-21: I have been informed that the spread-spectrum signal for this experiment was designed by CAMRAS. The waveform that the Open Research Institute is designing will potentially be used in future experiments.
CAMRAS has published an analysis of the recorded IQ data, showing successful echo detections with Dwingeloo and Stockert. There is an example Jupyter notebook that shows how to Doppler correct the echo and detect it with an FFT. All the recorded IQ data has been published.
In this post I will do my own analysis of the experiment. The goal is not to confirm the successful detection with an independent analysis, since I believe that the analysis published by CAMRAS is correct and leaves no doubt about this. It is to expand this analysis and to touch on other topics that this analysis has not covered:
- Calculation of the Doppler. CAMRAS has published CSV files containing the expected Doppler at each receiver, but they have not published the code to calculate this. Here I will do all the relevant calculations with SPICE.
- Doppler correction with the gr-satellites Doppler correction block, which performs linear interpolation of the Doppler frequency to calculate the frequency shift applied to each sample.
- High-quality spectral analysis with a polyphase filterbank.
- Try to estimate the Doppler spread and compare with some results in the literature.
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