A minimum detectable signal is a signal at the input of a system whose power allows it to be detected over the backgroundelectronic noise of the detector system. It can alternately be defined as a signal that produces a signal-to-noise ratio of a given value m at the output. In practice, m is usually chosen to be greater than unity. In some literature, the name sensitivity is used for this concept. When the resulting signal is then interpreted by a human operator, as in radar systems, the related term minimum discernible signal may be used. This includes additional factors like clutter and the lifetime of the signal on the radar display. In the case of a just-detectable signal, the resulting blip on the radar display may be too small or too fleeting to be recognized. Depending on what effects are considered, the term minimum visible signal may be used to consider only whether the signal may be visible on the display, ignoring other effects like clutter.
General
In general it is clear that for a receiver to "see" a signal it has to be greater than the noise floor. To actually detect the signal however, it is often required to be at a power level greater than the noise floor by an amount that is dependent on the type of detection used as well as other factors. There are exceptions to this requirement but coverage of these cases is outside the scope of this article. This required difference in power levels of the signal and the noise floor is known as the signal to noise ratio. To establish the minimum detectable signal of a receiver we require several factors to be known.
To calculate the minimum detectable signal we first need to establish the noise floor in the receiver by the following equation: As a numerical example: A receiver has a bandwidth of 100 MHz and noise figure of 1.5 dB and the physical temperature of the system is 290 kelvins. Noise floor = 10 log + 1.5 + 10 log = −174 + 1.5 + 80 = −92.5 So for this receiver to even begin to "see" a signal it would need to be greater than −92.5 dBm. Confusion can arise because the level calculated above is also sometimes called the Minimum Discernable Signal. For the sake of clarity we will refer to this as the noise floor of the receiver. The next step is to take into account the SNR required for the type of detection we are using. If we need the signal to be 10 times more powerful than the noise floor the required SNR would be 10 dB. To calculate the actual minimum detectable signal is simply a case of adding the required SNR in dB to the noise floor. So for the example above this would mean that the minimum detectable signal is: MDS = -92.5 + 10 = -82.5 MDS = 10Log + NF + 10Log + SNR In this equation: kT0 is the available noise power in a bandwidth BW = 1 Hz at T0, expressed in watts. kT0 x 1000 is the available noise power in a bandwidth BW = 1 Hz at T0, expressed in milliwatts. T0 is the system temperature in kelvins, and k is Boltzmann's constant. If the system temperature and bandwidth is 290 K and 1 Hz, then the effective noise power available in 1 Hz bandwidth from a source is −174 dBm. 1 Hz noise floor: calculating the noise power available in a one hertz bandwidth at a temperature of T = 290 K defines a figure from which all other values can be obtained. 1 Hz noise floor equates to a noise power of −174 dBm so a 1 kHz bandwidth would generate −174 + 10 log10 = −144dBm of noise power. MDS = 10Log + NF + 10Log + SNR The equation above indicates several ways in which the minimum detectable signal of a receiver can be improved. If one assumes that the bandwidth and SNR are fixed however by the application, then one way of improving MDS is by lowering the receivers physical temperature. This lowers the NF of the receiver by reducing the internal thermally produced noise. These type of receivers are referred to as Cryogenic Receivers.
is noise factor expressed in decibels. F is the ratio of the input signal-to-noise-ratio to the output signal-to-noise-ratio. F quantifies how much the signal degrades with respect to the noise because of the presence of a noisy network. A noiseless amplifier has a noise factor F=1, so the noise figure for that amplifier is NF=0 dB: a noiseless amplifier does not degrade the signal to noise ratio as both signal and noise propagate through the network. If the bandwidth in which the information signal is measured turns out not to be 1 Hz wide, then the term 10 log10 allows for the additional noise power present in the wider detection bandwidth.
Signal-to-noise-ratio
is the degree to which the input signal power is greater than the noise power within the bandwidth B of interest. In the case of some digital systemsa 10 dB difference between the noise floor and the signal level might be necessary; this 10 dB SNR allows a bit error rate to be better than some specified figure. For voice signals the required SNR might be as low as 6 dB and for CW it might extend, with a trained listener, down to 1 dB difference. Usable in this context then means it conveys adequate information for decoding by a person or a machine with acceptable and defined levels of error.
