auto-gain-control
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83
src/agc.rs
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83
src/agc.rs
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use num_complex::Complex;
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use crate::iq_reader::IqChunk;
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// Automatic Gain Control
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struct Agc {
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// Previous power estimate
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power_estimate: f32,
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// Previous gain
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current_gain: f32,
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target_power: f32,
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alpha_attack: f32,
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alpha_release: f32,
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beta: f32,
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min_gain: f32,
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max_gain: f32,
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}
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impl Agc {
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fn new(sample_rate: f32, target_power: f32, min_gain: f32, max_gain: f32) -> Self {
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// Target attack time 5 ms
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let tau_attack = 0.005;
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// Target release time 50 ms
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let tau_release = 0.05;
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let alpha_attack = 1.0 - f32::exp(-1.0 / (sample_rate * tau_attack));
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let alpha_release = 1.0 - f32::exp(-1.0 / (sample_rate * tau_release));
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let beta = 0.999;
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let power_estimate = 0.0;
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let current_gain = 1.0;
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Self {
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power_estimate,
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current_gain,
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target_power,
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alpha_attack,
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alpha_release,
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beta,
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min_gain,
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max_gain,
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}
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}
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fn process_chunk(&mut self, chunk: &mut IqChunk) {
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for z in chunk.samples.iter_mut() {
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let i = z.re;
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let q = z.im;
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// Instant Power
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let inst_power = i * i + q * q;
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let alpha = if inst_power > self.power_estimate {
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self.alpha_attack
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} else {
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self.alpha_release
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};
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// IIR filter
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let power_estimate = alpha * inst_power + (1.0 - alpha) * self.power_estimate;
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// Update Power
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self.power_estimate = power_estimate.max(1e-10);
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let raw_gain = (self.target_power / self.power_estimate).sqrt();
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// Gain in [min_gain ; max_gain]
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let raw_gain = match raw_gain {
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g if g < self.min_gain => self.min_gain,
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g if g > self.max_gain => self.max_gain,
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_ => raw_gain,
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};
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let final_gain = self.beta * self.current_gain + (1.0 - self.beta) * raw_gain;
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self.current_gain = final_gain;
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*z = Complex::new(i * final_gain, q * final_gain);
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}
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}
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}
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