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RTA: Friend or Foe? |
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Meet the car audio enthusiasts greatest ally the real time analyzer. |
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| by Mark Eldridge | |||||||||||||
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Red Tomato Affliction! Those words strike fear in the hearts of most seasoned tomato fight competitors. But not car audio competitors tomatoes dont scare us. (One thing for sure though, real car audio competitors dont like raw tomatoes!) What scares many of us are Real Time Analyzers red ones, blue ones, black ones, or otherwise. For many years, it has been very common to see competitors spending the last few precious minutes before having their systems judged, tweaking the system for that elusive, perfect, flat RTA curve. It seems kind of funny to get so wrapped up in a supposedly simple and objective frequency response test of an audio system. But, when its entirely possible (at IASCA competitions) to win or lose a show because of a poor RTA score, you can be sure the serious competitors will sacrifice whatever it takes to ensure they get those RTA points. (BTW, the sacrifice usually includes some type of offering to the RTA gods!) Why is RTA such a big deal? Is there a better way to do it? Do we really need to keep it around? My answers to those questions would be 1) I dont know, 2) Yes, and 3) Yes! The RTA is one of the most useful and reasonably affordable test and measurement instruments available to anyone in the pursuit of high-quality audio car, home, studio, or otherwise. However, its also one of the most (if not the most) misunderstood things we do in the judging lanes. Why? As the owl in the Tootsie Pop commercial says, Lets find out. In the first half of this two-part article (its going to be really long, so we had to split it up), well cover the basics of how an RTA functions, some simple measurement examples, some of the basic capabilities and limitations of the RTA, and the (often disregarded) care and maintenance of an RTA. In the next issue, well cover specific techniques on taking useful RTA measurements in a car, some data interpretation techniques, competition-specific techniques to help ensure maximum points on the score sheet, and well show some examples of RTA curves from some of the top competitors sound systems on the circuit. The How... When testing system frequency response, a pink noise signal is fed to the system and reproduced through the speakers. Pink noise is a pseudo-random noise signal that contains a constant amount of energy in each octave band, as opposed to white noise that has constant energy per Hertz. It correlates better with the human hearing systems perception of loudness because its a constant percentage of bandwidth, and we tend to hear pitches on a logarithmic frequency scale. In pink noise, the actual instantaneous signal level in each frequency band is varied pseudo-randomly, but the average intensity over time is the same level in all bands. The varied level is the reason the individual band level jump around so much when the RTA response time is set to fast, but averages out to a steady state, consistent level when a longer time average is taken. If the pink noise from the source unit is fed directly into the RTA, it should result in a flat response curve when averaged over time. Figure 1 is a photo of just such a measurement. The CD player output is fed directly into the RTA. This is the reference with which the RTA compares a systems measured response when using a microphone. If the RTA and microphone are accurately calibrated, the resulting curve will be representative of the total energy in each fractional-octave band at the microphone tip location.
The total energy includes everything in that frequency band, regardless of whether it is generated by the system, an engine running near by, or otherwise. So, performing RTA measurements in a relatively quiet area where the system output is at least 10 dB above the ambient noise level is a necessity for solid, repeatable results. Doing Some Basic Tests... The first measurement is simply a reference for everything else well cover. Pink noise is played through a single speaker. The microphone is placed one meter directly in front of and on axis with the speaker. Figure 2 shows the results of this set up using 1/3rd-octave band-width filters. Figure 3 shows the same test, but is the result of using Time Delay Spectrometry, a much more precision, detailed measurement system that yields results with much finer resolution than RTA. Note that in both figures, the response is, overall, very smooth with the typical bass roll-off below 50 Hz (it only has an 8-inch woofer) and above 16 kHz. The slight rise in the 100 to 160 Hz range is due to the reflection off the floor. Keep these curves in mind as we change the system set up and make more measurements.
The next measurement is made using the same set up, except that a single piece of glass (18-inches square) is held 12 inches from the microphone, creating a single reflective surface near the mic. (Sounds kind of like a car, huh?) In this case, the direct sound from the speaker arrives at the microphone first. The sound wave also continues towards the glass, and is reflected back to the mic, traveling an additional 2 feet. Figures 4 and 5 show the resulting measured response. Figure 4 uses a 1/6th-octave RTA measurement, while Figure 5 uses a 1/12th-octave RTA measurement. Both of these settings yield better resolution than a 1/3rd-octave response test, and, hence, allow us to see better whats actually happening under these conditions. Note the significant dips in the response at 500 Hz and at several frequencies above that. Also note the general overall un-even response throughout the spectrum compared to Figure 2. This is the result of comb filtering. Comb filtering occurs when two combining sound waves have different amplitudes, phases, and frequencies. In this case, the first wave is the primary arrival sound directly from the speaker to the mic. The second is the reflected wave from the speaker, to the glass, then to the mic. When the two waves meet at the mic, the actual signal level at each discrete frequency is the sum of the two waves amplitudes and phases at that frequency. If the waves are in phase, the result will be higher output (by 6 dB, theoretically). If the two waves are 180 degrees out of phase, the result is theoretically zero at that particular frequency. The dip in response at 500 Hz is the result of the direct and reflected waves being out of phase at the mic tip, thus creating a null in the response curve.
Figure 6 shows the same test with the TDS measurement system, set up to show very fine detail in the response. The resolution of the TDS system allows us to see the combs in much more detail than the RTA, simply because the width of the RTA filter bands does not allow it. (This in no way means that the RTA isnt a good tool. It simply illustrates an example of one of the things we need to keep in mind when making an RTA measurement.) Note that the dip at 500 Hz is actually much deeper than displayed on the RTA curves, and there are actually many more deep dips from there up to 20 kHz. Theres also a large, narrow band peak at 750 Hz, not visible on the RTA response curve, resulting from the two waves being in-phase at that frequency. This example illustrates one of the basic limitations of any measurement system. Early reflections, like that off the glass panel, wreak havoc on the overall measurement results. This is one of the fundamental problems we face when trying to gain useful measurement data in a car. Care Is Needed Until Next Time... The more we know about Real Time analysis, the better our test results and interpretation of those results will be. And, in the long run, the more well know about tuning our systems to sound better. Thats what its all about! |
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