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Re: [Discuss-gnuradio] GNU radio

From: Andrew Rich
Subject: Re: [Discuss-gnuradio] GNU radio
Date: Thu, 22 Sep 2011 02:17:43 +1000

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


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" <address@hidden>
To: "Andrew Rich" <address@hidden>
Cc: <address@hidden>
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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