Method for obtaining sensing matrix of random demodulation hardware system
A hardware system, random demodulation technology, applied in the field of signal processing, can solve problems such as many parameters, system deviation, complex method, etc., to achieve the effect of reducing deviation, computing content and influencing factors
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[0059] Specific implementation mode 1. Combination figure 1 This specific embodiment will be described. A method for obtaining a perception matrix of a random demodulation hardware system, comprising the steps of:
[0060] Step 1: Connect the signal output terminal of the cosine frequency sweep signal generator to the cosine signal input terminal of the random demodulation hardware system, and set the initial frequency f of the cosine signal a1 , frequency step value Δf and final frequency f b1 , calculate and obtain frequency hopping times N;
[0061] Step 2: The pseudo-random sequence generator is connected to the input terminal of the pseudo-random sequence signal of the random demodulation hardware system, and the initial value of the pseudo-random sequence signal is set and kept unchanged;
[0062] Step 3: The signal input end of the uniform sampling module is connected to the signal output end of the random demodulation hardware system, the uniform sampling module is ...
specific Embodiment
[0111] Set the frequency of the cosine wave output by the frequency sweep signal generator from 1 Hz to 1000 Hz in steps of 1 Hz. In this way, the signal generator will generate a cosine wave 1000 times, and the frequency will increase by 1 each time. Assume that for the cosine wave of each frequency, the sampling module samples 100 points for the system output, so that 1000 sampling sequences are obtained, and each sequence is 100 points, forming a 100×1000 matrix Then set the frequency sweep signal generator to output sine wave, the operation is the same as above to form a 100×1000 matrix Then put Θ 1 as the real part, Θ 2 As the imaginary part, Θ 1 +iΘ 2 , constitute Θ, and this Θ is the perception matrix.
[0112] The number of rows of the obtained perception matrix Θ is M, and the number of columns N is determined by the start and stop frequencies and step values. By changing the frequency step value, start and end frequency values, this method can theoretically o...
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