In Set B, it is assumed that both of the interferences from Radar-2 and Radar-3 exist and the amplitude functions are more complicated.
Based on the above analysis, in the loop body (lines 2 to 27 in Algorithm 3), both the interference calculation of the receiving UE (lines 7 and 21 in Algorithm 3) and the first relay (line 12 in Algorithm 3) are iterated |ℜ| times, which could be completed in O |ℜ|·max{|I i,nei |·|V j || i∈ℜ, j∈I i,nei }) time.
As expected, the performance is not sensitive to the presence of both the interference and the clutter (because of the zero-mean code used).
The transformed matrix P 1R contains both the TDOA variations of the interference and target signal along the running time dimension, whereas the matrix P 2R contains only information of the interference.
This can be seen in the upper panels of Figure 4, where the increase in the bandwidth of the receiver lowpass filter from 5 to 40 MHz (by 9 dB) results in a 9-dB increase of both the interference and the thermal noise powers.
represents the covariance matrix of the interference (both intracell and intercell) plus noise, Σ = H 10 H 10 H + H 12 H 12 H + σ 2 I represents the covariance matrix of the overall intercell interference plus noise, while h11,1 is the first column of H11, as seen in (7).
They both bear similar criticisms, because of the interference, of executives in the legislative process.
Therefore, a detailed analysis of the interference between both layers, femto and macro, and the development of self-configuring and self-healing algorithms and techniques for femtocells are needed.
Consequently, the interference signals in Eq. (15) are much smaller than those in Eq. (8) owing to reductions in both the number of interference signals and the amplitudes of the interference coefficients.
