Mo Dwavelength

You Can Now Achieve Zero-Bandwidth Modulation

April 1, 2020
Perhaps Shannon and Hartley were wrong after all? Let’s look at the math.

Series: April 1, 2020: What's Trending in Technology?

The curse of the communications engineer has always been getting maximum data rate through the narrowest channel. In broadband applications, modulation provides the carrier, but in all cases, the resulting sidebands eat up the bandwidth. Now a recent discovery lets you achieve your data objective with zero bandwidth.

Hidden from discovery in plain view for decades, this method has some engineers wondering if all that they ever knew about spectral efficiency is wrong. You can prove this recent discovery by going through the math yourself. All you really need to remember are some basic trigonometric identities:

  • sin A sin B = 0.5[cos (A B) cos (A + B)]
  • cos A cos B = 0.5[cos (A B) + cos (A + B)]
  • sin A cos B = 0.5[sin (A B) + sin (A + B)]

Write the math through the modulation circuit in the figure and voilà

The primary signals are:

  • Carrier = Vc sin 2πfct = A
  • Modulating signal = Vm sin 2πfmt = B

Balanced modulator 1 produces the product of these two signals:

(Vm sin 2πfmt) (Vc sin 2πfct) or sin A sin B

Applying one of the common trigonometric identities:

sin A sin B = 0.5[cos (A B) cos (A + B)]

Note that these are the sum, and difference signals are the upper and lower sidebands.

The carrier and modulating signal are then shifted by 90 degrees, producing cosine waves that are multiplied in balanced modulator 2 producing:

cos A cos B

Applying another common trigonometric identity

cos A cos B = 0.5[cos (A B) + cos (A + B)]

Now, summing the outputs of modulators 1 and 2 we get:

0.5[cos (A B) cos (A + B)] + 0.5[cos (A B) + cos (A + B)]

cos (A B)

Now, following the remaining processes, you will recognize the result immediately.

Proof at last that you can achieve the elusive zero-bandwidth condition.

The technique isn’t unique, so anyone is free to use it.

Sponsored Recommendations

Guide to VNA Automation in MATLAB Using the TCP Interface

April 19, 2024
In this guide, advantages of using MATLAB with TCP interface is explored. The how-to is also covered for setting up automation language using a CMT VNA.

In-Circuit Antenna Verification

April 19, 2024
In this video, Brian Walker, Senior RF Design Engineer at Copper Mountain Technologies, shows how there can be significant variation of the performance of a PCB-mounted antenna...

UHF to mmWave Cavity Filter Solutions

April 12, 2024
Cavity filters achieve much higher Q, steeper rejection skirts, and higher power handling than other filter technologies, such as ceramic resonator filters, and are utilized where...

Wideband MMIC Variable Gain Amplifier

April 12, 2024
The PVGA-273+ low noise, variable gain MMIC amplifier features an NF of 2.6 dB, 13.9 dB gain, +15 dBm P1dB, and +29 dBm OIP3. This VGA affords a gain control range of 30 dB with...