## 3 Simulation Results and Interpretation
### Scenario 2: Effect on the Number of Targets
#### 3.2.3 Simulation with Clutter Model 3
\begin{table}
\begin{tabular}{c c c c c c c c c c c c c c c} \hline \hline \multirow{3}{*}{**Clutter Model**} & \multirow{3}{*}{**Clutter Parameters**} & \multicolumn{6}{c}{**Target Detected by**} & \multirow{3}{*}{**The Target Detected by the Proposed Detector**} \\  & & & & & & **the OS-CFAR** & & & **The Target Detected by the Proposed Detector** \\  & & & & & & & **Detector Alone** & & & & & & \\ \cline{2-13}  & **a** & **b** & **\(\sigma\)** & **\(\mu\)** & **Range (km)** & **Nfa** & **N\({}_{\text{os}}\)** & **Target1** & **Target2** & **Target3** & **Nfa** & **M** & **N** & **q** \\ \hline Without clutter & & & & & 82 & 1 & M = 39 & M = 46 & M = 54 & 0 & 64 & 8 & 1 \\ \hline Weibull distribution & 25 & 0.9 & & 81 & 9 & M = 41 & M = 51 & M = 61 & 0 & 64 & 8 & 1 \\ \cline{2-13}  & 250 & 0.9 & & 84 & 9 & M = 43 & M = 52 & M = 62 & 0 & 64 & 8 & 1 \\ \cline{2-13}  & 250 & 0.9 & &? &? &? &? & M = 45 &? & 64 & 32 & 1 \\ \cline{2-13}  & 25 & 0.9 & &? &? &? & M = 23 & M = 28 & 2 & 32 & 16 & 2 \\ \hline Rayleigh distribution & & 200 & & 83 & 12 & 10 &? & M = 48 & M = 58 & 1 & 64 & 16 & 1 \\ \cline{2-13}  & & 200 & & 83 & 11 & 10 & M = 81 & M = 102 & M = 120 & 0 & 128 & 8 & 1 \\ \cline{2-13}  & & 250 & & 81 & 12 & 10 & M = 81 & M = 102 & M = 120 & 1 & 128 & 8 & 1 \\ \hline Normal distribution & & 400 & 10 &? &? & 10 &? &? &? &? & 128 & 8 & 1 \\ \cline{2-13}  & & 400 & 10 &? &? & 10 &? &? &? &? & 256 & 2 & 1 \\ \hline \multicolumn{13}{c}{\({}^{\ast\gamma}\) means the number is undefined”.} & & & & & & & & & & & \\ \hline \hline \end{tabular}
\end{table} 
Table 8: Summary of the simulation of scenario No. 2. \begin{table}
\begin{tabular}{c c c c} \hline \hline
**No.** & **Tiles** & **Methods** & **Advantages** & **Limits** & **References** \\ \hline \multirow{7}{*}{1} & Clutter Map & detection method that & \(\bullet\) Reduce the impact of clutter & \\  & Constant False & uses time-frequency & false alarms. & \\  & Alarm Rate Mixed & analysis tools via & \(\bullet\) Significantly improves the & targets is increase \\  & with the Gabor & clutter map constant & detection probability and & and when \\  & Transform for & false alarm rate mixed & reduces the false alarm rate. & parameters linked to \\  & Target Detection & with the Gabor & \(\bullet\) Facilitates the extraction of & each clutter model \\  & via Monte Carlo & transform for target & pertinent target characteristics & are significantly \\  & Simulation & detection. & and improves differentiation & increased or reduced. \\  & & from clutter. & & \\ \hline \multirow{7}{*}{2} & Multitarget CFAR & Ordered statistics & \multirow{7}{*}{\(\bullet\) Can effectively resist} & \(\bullet\) In multitarget & \\  & Detection Method & contact (OS-CFAR): & & \\  & for HF & background & & \\  & Over-The-Horizon & distribution parameter & detection performance. & \\  & Radar Based on & estimation and the & \(\bullet\) Can identify strong targets & \(\bullet\) The performance \\  & Target Sparse & basic theory of & well, and the weak targets in & of the detector \\  & Constraint in & & target/jamming target & \\  & Weibull Clutter & identification using & can also be recognized. & \\  & Background & sparse characteristics. & & \\ \hline \multirow{7}{*}{3} & & & New decision criterion & \multirow{7}{*}{\(\bullet\) Can provide superior} & \multirow{7}{*}{\(\bullet\) Not applicable to} \\  & & & and applies the & & \\ \cline{1-1}  & & optimal CFAR & & & \\ \cline{1-1}  & FPGA & algorithms such as the & & & \\ \cline{1-1}  & Implementation of & & modified variable & & \\ \cline{1-1}  & Efficient CFAR & index (MVI) and & & & \\ \cline{1-1}  & Algorithm for & automatic censored & & & \\ \cline{1-1}  & Radar Systems & cell-averaging-based & & & \\ \cline{1-1}  & & & ordered data & & & \\ \cline{1-1}  & & variability & & & & \\ \cline{1-1}  & & & (ACCA-ODV). & & & \\ \hline \hline \end{tabular}
\end{table} 
Table 9: Comparison with the state-of-the-art.