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#16 |
Naval Royalty
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What statistical distribution did you draw the noise levels from?
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#17 | |
中国水兵
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Man, i think my demo isn't passing muster with the hardcore ![]() TG
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#18 | ||
中国水兵
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TG
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#19 | |
The Old Man
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Hey SeaQueen .. since you mind .. you know something more about it ? Some links ? I haven't found any. Also about the importance of this in sonar (& ESM) ?
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#20 |
Naval Royalty
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rand() would imply the uniform distribution. I suspected that from looking at it. God... you know you're a physicist when you can tell the distribution of random noise by looking at it. That scares me.
It would be a better simulation of real life if you used the Gaussian distribution. You can generate those from the uniform distribution using the Box-Muller method. You should be able to find a good discussion of it. The idea is that it's hard to generate one Gaussian distributed random number but it's easy to make two and throw one away (or use it for something else). I actually wrote a short program to generate Gaussian distribute random numbers. I use it for various projects of mine. I could send you the source if you'd like. I really enjoyed seeing this. It's a great start. It would be nice if there were menus where you could put in more parameters and play with things like wave forms and what not. Like... on the top display I assume I'm looking at frequency versus the received level (in dB?). The other two displays I'm not sure I understand entirely. One of my gripes with naval simulations is that it seems like game designers focus too much on the button-ology without paying enough attention to the substance which drives decision making. This is techno-weenieness, but it's good techno-weenieness. You can learn something from it. If something like this could be improved upon and integrated into something like Dr. Sid's subsim, that'd be absolutely fabulous. The interface doesn't necessarily have to look slick, it just has to be usable and updatable so that eventually it could be slick. |
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#21 | |
Naval Royalty
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In radar it's less important because the rate of sampling is much higher, so things average out much more quickly, but it does have an effect. Most signal processing is designed around Gaussian noise, though. You can generate pairs of Gaussian distributed random numbers with the Box-Muller method. http://www.taygeta.com/random/gaussian.html The noise level is a big driver in sonar particularly, but radar as well. A lot of the physics of radar and sonar are the same. The jargon is just different. The basic ideas in both cases is that the atmosphere and the ocean is a waveguide. They just rephrase the jargon. In radar, for example, they plot the refractive index of the atmosphere versus altitude, while in sonar they plot the speed of sound versus depth. Regardless, it's just the speed the wave propagates at. In the end, it's all just Snell's Law. It's all good stuff. |
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#22 | ||
中国水兵
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-SS-1, signal is barely discernible from background noise. No side lobes detectable. -SS-2, signal is clearly discernible from background noise, but still relatively weak. No side lobes detectable. -SS-3, signal is clearly discernible and of moderate strength. There may be some weak side lobes present. -SS-4, signal is strong, with several side lobes clearly discernible/audible. Depending on other parameters, this represents a possible detection or collision threat. -SS-5, signal is very strong – the receiver is saturated, i.e. little or no distinction can be made between the side lobes and the main lobe. Depending on other parameters, this represents a detection or collision threat. This worked great if you kept in mind the characteristics of the radar signals and how they affect the capabilities of the radar (range, resolution, etc). The other two displays are the demodulated radar pulses. The first pulse analysis display (the middle display) shows multiple pulses so that the Pulse Repetition Interval can be measured. The second display shows a single pulse so that the pulse width can be measured. Here's the ESM Quick-tutorial part of the readme: ESM Quick-tutorial – ESM stands for Electronic Surveillance Measures, and is basically the passive (receiving or listening) side of ECM, or Electronic Countermeasures (or EW, Electronic Warfare). ESM performs several functions in a military context: -identification of platforms in a tactical situation, to identify both friendly and enemy forces -evaluation of signal strength and emitter type, to determine whether or not the emitter’s platform is a detection threat (i.e. will be able to detect ownship using the emitter detected by ownship) or a collision threat (i.e. the signal strength is so high that ownship is within the radiation pattern of the emitter, close enough to be a hazard to ownship) -reconnaissance of sea-based, airborne or landbased platforms for the purpose of gathering intelligence, either in a tactical or non-tactical situation All intelligence gathered using ESM is Signals Intelligence, or SIGINT. SIGINT includes intelligence about various RF signals, which includes radar and communications signals. This simulator only depicts intercepted radar signals. Signal Parameters – the basic parameters of concern that are typically measured by an ESM system are: -frequency in MHz (or GHz, 1GHz = 1000MHz). In general, the lower the frequency, the longer the detection range. Typical marine navigation radars operate in the 8000-10000MHz range, while a long-range early warning air search radar might operate at about 300MHz. -Pulse repetition interval in microseconds (us); the duration between the leading edge of one pulse to the leading edge of the next. In general, the longer the PRI, the longer the detection range. -Pulse repetition frequency in pulses per second (pps), which is the reciprocal of the PRI; the number of pulses transmitted by the emitter per second. In general, the lower the PRF, the longer the detection range, which corresponds to a longer PRI. -Pulse width in microseconds (us); in general, the longer the pulse width, the longer the detection range, because of higher average power output. However, a longer pulse width contributes to a lower range/target size resolution. A radar with a short pulse width is better able to distinguish between multiple targets that are close together. -Scan rate in seconds; this usually only applies to circular or sector scans. Scan rate is not measured by this simulator. -Signal strength – depends on who’s doing the measuring. Back when I was on the boat, we had a 5-level signal strength system: -SS-1, signal is barely discernible from background noise. No side lobes detectable. -SS-2, signal is clearly discernible from background noise, but still relatively weak. No side lobes detectable. -SS-3, signal is clearly discernible and of moderate strength. There may be some weak side lobes present. -SS-4, signal is strong, with several side lobes clearly discernible/audible. Depending on other parameters, this represents a possible detection or collision threat. -SS-5, signal is very strong – the receiver is saturated, i.e. little or no distinction can be made between the side lobes and the main lobe. Depending on other parameters, this represents a detection or collision threat.
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#23 |
Mate
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What is the typical polarisation of a marine/search radar? Vertical or horizontal? Or rotating?
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#24 | |
中国水兵
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TG
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#25 |
中国水兵
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I think maybe I should clarify something about this program - it's just a simulation of how an ESM receiver might appear if it were to be included in a submarine simulation. It's a demo, at best!
The signals themselves are extremely rudimentary simulations. You will see the basic parameters of a signal's frequency, PRI/PRF, and pulse width, but you will not see the results of environmental effects. As an example of how rudimentary the signal simulations are, here's how I decided to program them: I started with how I wanted the display to look. Then I decided how often I wanted to update the display. I took those numbers and used them to program a low-frequency oscillating loop which would generate amplitude values to send to the display, based on signal parameters set at the program's initialization. To sum up - I started from the display and worked backwards! I'll post more specifics later. TG
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#26 |
Commodore
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#27 |
Silent Hunter
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It would be cool if this got into Sid's CSS. The radar/ESM model in DW is rather disappointing and this level of detail would be very nice to have.
If I could steal the attention of the ESM/radar buffs for a moment, I'm looking for some related information, if anyone would care to lend a hand. Thanks!
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#28 |
中国水兵
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I have added a Word doc describing the "inner workings" of the program to the CADC Downloads center, along with a separate file containing the source code for the signal generation functions.
TG
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