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https://gitea.osmocom.org/cellular-infrastructure/osmo-trx.git
synced 2025-10-23 08:22:00 +00:00
ms: flexible template for value_type buffer sum
Manual attempts to get the number of complex and single samples right turned out to be a bit error prone at times... Change-Id: I3c9953073555e3a7f70b78b0946dfdf949175a82
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@@ -84,16 +84,19 @@ void convert_and_scale_i(float *dst, const float *src, unsigned int src_len, ST
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template <typename T>
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struct is_complex : std::false_type {
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using baset = T;
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static const unsigned int len_mul = 1;
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};
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template <typename T>
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struct is_complex<std::complex<T>> : std::true_type {
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using baset = typename std::complex<T>::value_type;
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static const unsigned int len_mul = 2;
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};
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template <typename T>
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struct is_complex<Complex<T>> : std::true_type {
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using baset = typename Complex<T>::value_type;
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static const unsigned int len_mul = 2;
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};
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} // namespace cvt_internal
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@@ -106,6 +109,19 @@ void convert_and_scale(DST_T *dst, const SRC_T *src, unsigned int src_len, ST sc
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return cvt_internal::convert_and_scale_i((vd *)dst, (vs *)src, src_len, scale);
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}
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template <typename array_t>
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float normed_abs_sum(array_t *src, int len)
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{
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using vd = typename cvt_internal::is_complex<array_t>::baset;
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auto len_mul = cvt_internal::is_complex<array_t>::len_mul;
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auto ptr = reinterpret_cast<const vd *>(src);
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float sum = 0;
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for (unsigned int i = 0; i < len * len_mul; i++)
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sum += std::abs(ptr[i]);
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sum /= len * len_mul;
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return sum;
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}
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struct one_burst {
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one_burst()
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{
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@@ -101,11 +101,7 @@ void ms_trx::maybe_update_gain(one_burst &brst)
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const unsigned int rx_max_cutoff = (rxFullScale * 2) / 3;
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static int gain_check = 0;
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static float runmean = 0;
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float sum = 0;
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for (auto i : brst.burst)
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sum += abs(i.real()) + abs(i.imag());
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sum /= ONE_TS_BURST_LEN * 2;
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float sum = normed_abs_sum(&brst.burst[0], ONE_TS_BURST_LEN);
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runmean = gain_check ? (runmean * (gain_check + 2) - 1 + sum) / (gain_check + 2) : sum;
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if (gain_check == avgburst_num - 1) {
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@@ -231,12 +227,8 @@ SCH_STATE ms_trx::search_for_sch(dev_buf_t *rcd)
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sch_pos = 0;
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rcv_done = true;
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auto sch_search_fun = [this] {
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auto ptr = reinterpret_cast<const int16_t *>(first_sch_buf);
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const auto target_val = rxFullScale / 8;
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float sum = 0;
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for (unsigned int i = 0; i < SCH_LEN_SPS * 2; i++)
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sum += std::abs(ptr[i]);
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sum /= SCH_LEN_SPS * 2;
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float sum = normed_abs_sum(first_sch_buf, SCH_LEN_SPS);
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//FIXME: arbitrary value, gain cutoff
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if (sum > target_val || rxgain >= 60) // enough ?
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