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Understanding Radar Signature Data

 
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Understanding Radar Signature Data - 9/24/2019 10:33:57 AM   
obrien979

 

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I am struggling to understand the Radar Signature information for Aircraft. I am probably overthinking this and have missed the boat somewhere. Based on the photo attached, it appears that the F-117A has a lower radar picture then the newet F-22 Raptor. Meaning that it is more stealthier when up against A-D Band Radars and more likely to be seen using E-M Band Radars. Am I correct on this?




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< Message edited by obrien979 -- 9/24/2019 10:35:46 AM >


_____________________________

v/r,

Brandon O'Brien
Post #: 1
RE: Understanding Radar Signature Data - 9/24/2019 11:00:44 AM   
Dragon029


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Radar signature is measured in dBsm, which is a decibel / logarithmic scale. To convert from decibel square metres to normal square metres, you use the formula:

area in square metre = 10 ^ (dBsm / 10)

Then to convert an area in square metres back into dBsm, you use the formula (where the log is using base 10):

area in dBsm = 10 x log(area in square metres)

Due to the nature of logarithms and powers, the more negative a value is in dBsm, the smaller an area it represents.

So according to that chart (which is going to be speculation or from an incomplete simulation keep in mind), the F-117A has an average radar signature of -14dBsm in radar bands A-D, which roughly equals 0.04m^2, and a radar signature of -24dBsm in radar bands E-M, which roughly equals 0.004m^2.

The F-22 meanwhile apparently has an average radar signature in the A-D bands of -20dBsm or 0.01m^2 (4x smaller than the F-117), and an average radar signature in the E-M bands of -30dBsm or 0.001m^2 (again 4x smaller than the F-117).

(in reply to obrien979)
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RE: Understanding Radar Signature Data - 9/24/2019 11:29:36 AM   
obrien979

 

Posts: 27
Joined: 5/18/2018
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quote:

ORIGINAL: Dragon029

Radar signature is measured in dBsm, which is a decibel / logarithmic scale. To convert from decibel square metres to normal square metres, you use the formula:

area in square metre = 10 ^ (dBsm / 10)

Then to convert an area in square metres back into dBsm, you use the formula (where the log is using base 10):

area in dBsm = 10 x log(area in square metres)

Due to the nature of logarithms and powers, the more negative a value is in dBsm, the smaller an area it represents.

So according to that chart (which is going to be speculation or from an incomplete simulation keep in mind), the F-117A has an average radar signature of -14dBsm in radar bands A-D, which roughly equals 0.04m^2, and a radar signature of -24dBsm in radar bands E-M, which roughly equals 0.004m^2.

The F-22 meanwhile apparently has an average radar signature in the A-D bands of -20dBsm or 0.01m^2 (4x smaller than the F-117), and an average radar signature in the E-M bands of -30dBsm or 0.001m^2 (again 4x smaller than the F-117).

Thank you for this outstanding explanation in Layman's terms. I think I have an understanding of this now. I suspected that the lower the negative value, the better its stealthiness. Time to put this new knowledge to test on some missions.

_____________________________

v/r,

Brandon O'Brien

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RE: Understanding Radar Signature Data - 9/24/2019 6:21:09 PM   
c3k

 

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Or, in simpler terms, the more negative the value, the LESS energy gets reflected BACK to the radar antenna. You want a BIG REDUCTION in energy being reflected back to maintain stealth.

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RE: Understanding Radar Signature Data - 9/25/2019 10:33:29 PM   
SeaQueen


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From: Washington D.C.
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Electrical engineers like to work in decibels (dB) rather than simpler to understand linearly scaled units. The reason is that when you measure things on a logarithmic scale (i.e. dB) small changes in the underlying quantity that don't matter much get washed out. In that sense, dBsm are actually a much more convenient way of measuring rcs.

rcs (m^2) | rcs (dBsm)
------------------------
1000      | 30
100       | 20
10        | 10
1         |  0
0.1       | -10
0.01      | -20
0.001     | -30


< Message edited by SeaQueen -- 9/26/2019 7:24:33 PM >

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