I wonder how I can implement surrounding noise signals in OMNeT++.
As far as I know, there is an SNR box that I can input the number as a percentage, but I don't see it in the manual.
You are looking at the wrong place. OMNeT++ does not implement anything regarding SNR, because it is a generic discrete event simulator that does not know anything about domain models.
What you are speaking is INET framework, which is a network simulation model (written for OMNeT++). So, you have to look for documentation on the model's website, not in the generic omnet manual. There is detailed documentation about the transmission modeling and noise models, for example here: https://inet.omnetpp.org/docs/users-guide/ch-transmission-medium.html#background-noise-models
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I am implementing spectrum sensing for VANETs using SuMO, OMNeT++ and Veins. With these three, I believe I can simulate traffic scenarios. Is it also possible to perform spectrum sensing within the nodes (secondary users in VANETs) with only those 3 software packages or do I need to install MIXIM for cognitive radios as well?
Thanks,
Rop
You ask "is it possible" and you mentioned C++ libraries containing simulation models. This makes the question somewhat hard to answer. Yes, the libraries you mention can support you to write a simulation that does what you described.
If your question is whether any of the libraries already contains code that implements the functionality you describe, the answer is no. You need to write that part yourself.
Right now, I am trying on place-routing on encounter, but when I search on web, I always see the tuition about quartus routing. For curious, I try to find out the difference between two of them. However, there is not any exact answer right now. But when I moving the layout of these two tools made, I feel like quartus' layout is look like making on a settle down chip. But encounter would give me more customly feeling. Thus, I suppose quartus for FPGA encounter for ASIC. Am I right? If not, plz tell me the exact story.
Encounter is a place and route tool for custom silicon, so it can pick any cell from a library, put it anywhere within a placement block, and route metal to it on any available layer as needed. The output of Encounter is a GDSII file showing what polygons need to be created on each layer as part of the silicon manufacturing process.
An FPGA has already placed all of the available transistors and wires within the device. Quartus (or ISE, for Xilinx) maps logic into LUTs (the logic unit within an FPGA) and figures out how to connect the LUTs using available tracks between the logic blocks. The output of Quartus is a bit stream which tells what values to put in to each LUT on the device and which routing tracks to select/connect between the LUTs.
I'm using an arduino to excitate and amplify strain gauges on a rod - the resulting voltage will be picked up by the analog inputs available on the arduino. I need to plot the 'torque' taken by that rod with respect to time on a graph, and the easiest way I see to do this is using the Processing language, as the basic arduino environment does not provide for graphical display.
Any tips on where to start? I only have prior experience with MATLAB, and a bit with Java.
EDIT: I should add a specific question - how do I assign a variable in Processing to the physical values read on the arduino (varying voltage through analog)?
Thanks.
Since you have experience with MATLAB, consider using the ArduinoIO API provided by The MathWorks. Basically lets you interface your Arduino to MATLAB - all the pin I/O features are available. So let MATLAB do the work plotting, etc, for you and just use your Arduino to collect your data.
I can personally vouch for how useful this API is. It's powering my master's thesis (building Arduino-powered vehicles and doing control on them).
I don't know if this is the right place to ask this question.
I am working on a project in which I have to use ultrasonic sensors only to do "simultaneous localization and mapping" of robot. I have 8 such sensors. Assume that i have enough computation power and the limited sensing(8 ultrasonic sensor) capability.
What would be an appropriate algorithm to use in this case?
I found SLAM for Dummies to be very helpful.
According to your question, the algorithm to use is SLAM.
There are many possible SLAM implementations. http://openslam.org
I have a raw grabbed data from spectrometer that was working on wifi (802.11b) channel 6.
(two laptops in ad-hoc ping each other).
I would like to decode this data in matlab.
I see them as complex vector with 4.6 mln of complex samples.
I see their spectrum quite nice. I am looking document a bit less complicated as IEEE 802.11 standard (which I have).
I can share measurement data to other people.
There's now a few solutions around for decoding 802.11 using Software Defined Radio (SDR) techniques. As mentioned in a previous answer there is software that is based on gnuradio - specifically there's gr-ieee802-11 and also 802.11n+. Plus the higher end SDR boards like WARP utilise FPGA based implementations of 802.11. There's also a bunch of implementations of 802.11 for Matlab available e.g. 802.11a.
If your data is really raw then you basically have to build every piece of the signal processing chain in software, which is possible but not really straightforward. Have you checked the relevant wikipedia page? You might use gnuradio instead of starting from scratch.
I have used 802.11 IEEE standard to code and decode data on matlab.
Coding data is an easy task.
Decoding is a bit more sophisticated.
I agree with Stan, it is going to be tough doing everything yourself. you may get some ideas from the projects on CGRAN like :
https://www.cgran.org/wiki/WifiLocalization