Maybe I can list my aims and you can tell me if GNU and N200 can do this ?
1. Receive on 1030 MHz - BW not sure yet
2. Receive on 1090 MHz - BW not sure yet
3. Receive on 2700 - 2900 MHz - BW not sure yet
4. Classify signals on these bands.
5. Perform PPM decode - Pulse Position Decode on the 1090 MHz band
Using a hardware device and GNU radio
The computer would be a MAC MINI running openSUSE LINUX
or
MacBook PRO Laptop running LINUX
with either USB or Gigabit ethernet.
What would be the suggested software and hardware combinations ?
Can I use the N200 as a very basic spectrum analyser and a capture device
( I guess the capture device would be just continuous)
I undestand what I want to do and I have started decoding singals on 1090
MHz already
I just want to turbo charge the process and make it as fast as my Mode S
1090 MHz receiver I have now, which is a 1090 MHz front end and FPGA
- Andrew -
----- Original Message -----
From: "Marcus D. Leech" <mle...@ripnet.com>
To: "Andrew Rich" <vk4...@tech-software.net>
Cc: <Discuss-gnuradio@gnu.org>
Sent: Thursday, September 22, 2011 1:47 AM
Subject: Re: GNU radio
On 21/09/2011 11:34 AM, Andrew Rich wrote:
I was just looking at the N200
Do these hardware components have sensitivity figures ?
That depends entirely on the daughterboard you chose. Although most of
them have noise figures in the 4-5dB range at maximum gain.
If you're just interested in RX in the 1090MHz range, I'd suggest the
DBS_RX2. Sensitivity is dominated by noise figure. If you need
lower noise figures you'll have to put a band-specific LNA in front,
which is what I do for radio astronomy.
I am interested in passive RADAR
I have been using a 1090 MHz receiver and a cheap digital OSCilloscope
commaned under LINUX as a capture device.
I guess that is sort of what the hardware and software of an SDR does ?
My system is very slow
In an SDR, nearly-all the processing is done on the host computer, so you
need a fastish computer. Overall compute requirements
are roughly proportional to sample_rate * complexity-per-sample.
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